# overview
My research interests focus on statistical signal processing and control, and pattern recognition and machine learning, with applications in bioinformatics, materials informatics, and epidemiological models.

# keywords[]
Reverse Transcriptase Polymerase Chain Reaction

# keywords[]
4.1 Discovery And Preclinical Testing Of Markers And Technologies

# keywords[]
30 Agricultural, Veterinary And Food Sciences

# keywords[]
4603 Computer Vision And Multimedia Computation

# keywords[]
Networking And Information Technology R&d (nitrd)

# keywords[]
4603 Computer Vision And Multimedia Computation

# keywords[]
4603 Computer Vision And Multimedia Computation

# keywords[]
3102 Bioinformatics And Computational Biology

# keywords[]
4603 Computer Vision And Multimedia Computation

# keywords[]
Bayesian Partially Observed Boolean Dynamical System

# keywords[]
Bayesian Partially Observed Boolean Dynamical System

# keywords[]
Networking And Information Technology R&d

# keywords[]
8.4 Research Design And Methodologies (health Services)

# keywords[]
8 Health And Social Care Services Research

# keywords[]
3102 Bioinformatics And Computational Biology

# keywords[]
4603 Computer Vision And Multimedia Computation

# keywords[]
4603 Computer Vision And Multimedia Computation

# educationAndTraining[].organization.label
Johns Hopkins University - (Baltimore, Maryland, United States)

# educationAndTraining[].field
Electrical & Computer Engineering and Mathematical Sciences

# educationAndTraining[].organization.label
Federal University of Pernambuco - (Recife, Brazil)

# educationAndTraining[].organization.label
Johns Hopkins University - (Baltimore, Maryland, United States)

# educationAndTraining[].organization.label
State University of Campinas - (Campinas, Brazil)

# awardsAndHonors[].label
Faculty Early Career Development (CAREER) Program

# publications[].label
PARTICLE FILTERING APPROACH TO STATE ESTIMATION IN BOOLEAN DYNAMICAL SYSTEMS

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Gene expression in the arcuate nucleus of heifers is affected by controlled intake of high- and low-concentrate diets.

# publications[].label
T-cell memory responses elicited by yellow fever vaccine are targeted to overlapping epitopes containing multiple HLA-I and -II binding motifs.

# publications[].label
Multiple Reaction Monitoring: Modeling and Systematic Analysis

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Signal propagation in Bayesian networks and its relationship with intrinsically multivariate predictive variables

# publications[].label
BAGGING DEGRADES THE PERFORMANCE OF LINEAR DISCRIMINANT CLASSIFIERS

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Deep Multimodal Transfer-Learned Regression in Data-Poor Domains

# publications[].label
Epistemology of computational biology: Mathematical models and experimental prediction as the basis of their validity

# publications[].label
Graph-based topology correction for brain cortex segmentation

# publications[].label
Proceedings of the 2009 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) conference. Introduction.

# publications[].label
Control of Gene Regulatory Networks With Noisy Measurements and Uncertain Inputs

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Detecting volunteer cotton plants in a corn field with deep learning on UAV remote-sensing imagery

# publications[].label
JOINT STATE AND PARAMETER ESTIMATION FOR BOOLEAN DYNAMICAL SYSTEMS

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Reliable classifier to differentiate primary and secondary acute dengue infection based on IgG ELISA.

# publications[].label
Classification and error estimation for discrete data.

# publications[].label
A Bayesian Approach to Top-Scoring Pairs Classification

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Joint Sampling Distribution Between Actual and Estimated Classification Errors for Linear Discriminant Analysis

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
A parallel programming framework with Markovian messaging for LC-MS peptide detection

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
BOLSTERED ERROR ESTIMATOR WITH FEATURE SELECTION

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Exact correlation between actual and estimated errors in discrete classification

# publications[].label
IEEE Signal Processing Society: Celebrating 75 Years of Remarkable Achievements [From the Guest Editors]

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Using Physics Informed Neural Networks for Supernova Radiative Transfer   Simulation

# publications[].label
Detecting Volunteer Cotton Plants in a Corn Field with Deep Learning on UAV Remote-Sensing Imagery

# publications[].label
Exact representation of the second-order moments for resubstitution and leave-one-out error estimation for linear discriminant analysis in the univariate heteroskedastic Gaussian model

# publications[].label
Plastic Contaminant Detection in Aerial Imagery of Cotton Fields with   Deep Learning

# publications[].label
Sample-based estimators for the instrinsically multivariate prediction score

# publications[].label
Bayesian control of large MDPs with unknown dynamics in data-poor environments

# publications[].label
Detecting mines and minelike objects in highly cluttered multispectral aerial images by means of mathematical morphology

# publications[].publisher
SPIE, the international society for optics and photonics

# publications[].label
TensorDiffEq: Scalable Multi-GPU Forward and Inverse Solvers for Physics   Informed Neural Networks

# publications[].label
Optimal State Estimation for Boolean Dynamical Systems using a Boolean Kalman Smoother

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
A SEMI-SUPERVISED GENERATIVE ADVERSARIAL NETWORK FOR PREDICTION OF GENETIC DISEASE OUTCOMES

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
RMS BOUNDS AND SAMPLE SIZE CONSIDERATIONS FOR ERROR ESTIMATION IN LINEAR DISCRIMINANT ANALYSIS

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Comparison of Classification Algorithms Towards Subject-Specific and Subject-Independent BCI

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Point-Based Value Iteration for Partially-Observed Boolean Dynamical Systems with Finite Observation Space

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Is cross-validation better than resubstitution for ranking genes?

# publications[].label
SAMPLE SIZE CALCULATION FROM SPECIFIED RMS OF THE RESUBSTITUTION ERROR FOR LINEAR CLASSIFIERS

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Object-based image analysis using multiscale connectivity.

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Studying the possibility of peaking phenomenon in linear support vector machines with non-separable data

# publications[].label
Analysis and modeling of time-course gene-expression profiles from nanomaterial-exposed primary human epidermal keratinocytes

# publications[].label
Point-Based Methodology to Monitor and Control Gene Regulatory Networks via Noisy Measurements

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Contribution of Coronavirus-Specific Immunoglobulin G Responses to Complement Overactivation in Patients with Severe Coronavirus Disease 2019.

# publications[].label
A systematic model of the LC-MS proteomics pipeline

# publications[].label
Preliminary study on bolstered error estimation in high-dimensional spaces

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
A stochastic metapopulation state-space approach to modeling and   estimating Covid-19 spread

# publications[].label
Small-Sample Error Estimation for Bagged Classification Rules

# publications[].label
Gene expression profiling during early acute febrile stage of dengue infection can predict the disease outcome.

# publications[].label
Assessing the performance of YOLOv5 algorithm for detecting volunteer cotton plants in corn fields at three different growth stages

# publications[].label
Bayesian estimation of the discrete coefficient of determination.

# publications[].label
Maximum Likelihood Estimation of the Binary Coefficient of Determination

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Control of Gene Regulatory Networks Using Bayesian Inverse Reinforcement Learning.

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
MBL2 gene polymorphisms protect against development of thrombocytopenia associated with severe dengue phenotype.

# publications[].label
State-Feedback Control of Partially-Observed Boolean Dynamical Systems Using RNA-Seq Time Series Data

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
BoolFilter: an R package for estimation and identification of partially-observed Boolean dynamical systems.

# publications[].label
Modeling and systematic analysis of LC-MS proteomics pipeline

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].publisher
Society for Industrial & Applied Mathematics (SIAM)

# publications[].label
Sequential Experimental Design for Optimal Structural Intervention in Gene Regulatory Networks Based on the Mean Objective Cost of Uncertainty.

# publications[].label
Severe Dengue Prognosis Using Human Genome Data and Machine Learning.

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Fads and fallacies in the name of small-sample microarray classification

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Complement factor H gene (CFH) polymorphisms C-257T, G257A and haplotypes are associated with protection against severe dengue phenotype, possible related with high CFH expression.

# publications[].label
Statistical detection of boolean regulatory relationships.

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Relationship between the accuracy of classifier error estimation and complexity of decision boundary

# publications[].label
Finite-horizon LQR controller for partially-observed Boolean dynamical systems

# publications[].label
Analysis and modeling of time-course gene-expression profiles from nanomaterial-exposed primary human epidermal keratinocytes.

# publications[].label
Characteristics-Informed Neural Networks for Forward and Inverse   Hyperbolic Problems

# publications[].label
Bayesian ABC-MCMC Classification of Liquid Chromatography-Mass Spectrometry Data.

# publications[].label
IEEE Signal Processing Society: Celebrating 75 Years of Remarkable Achievements (Part 2)

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Maximum-Likelihood Adaptive Filter for Partially Observed Boolean Dynamical Systems

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
A Naive-Bayes Approach to Bolstered Error Estimation in High-Dimensional Spaces

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Connectivity on complete lattices: New results

# publications[].label
Bayesian Top Scoring Pairs for Feature Selection

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Applications of signal processing techniques to bioinformatics, genomics, and proteomics.

# publications[].label
Relationship between the accuracy of classifier error estimation and distribution complexity

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Classification of Single-Cell Gene Expression Trajectories from Incomplete and Noisy Data.

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Physics-informed neural networks with adaptive localized artificial viscosity

# publications[].label
Boolean Kalman Filter with Correlated Observation Noise

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
INFERENCE OF GENE REGULATORY NETWORKS BY MAXIMUM-LIKELIHOOD ADAPTIVE FILTERING AND DISCRETE FISH SCHOOL SEARCH

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Classification of State Trajectories in Gene Regulatory Networks.

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Optimal Control of Gene Regulatory Networks with Unknown Cost Function

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Automatic target detection and tracking in forward-looking infrared image sequences using morphological connected operators

# publications[].publisher
SPIE, the international society for optics and photonics

# publications[].label
A theoretical tour of connectivity in image processing and analysis

# publications[].label
Nutrient optimization for plant growth in Aquaponic irrigation using Machine Learning for small training datasets

# publications[].label
Optimal Bayesian MMSE Estimation of the Coefficient of Determination for Discrete Prediction

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Description of a prospective 17DD yellow fever vaccine cohort in Recife, Brazil.

# publications[].publisher
American Society of Tropical Medicine and Hygiene

# publications[].label
Is cross-validation valid for small-sample microarray classification?

# publications[].label
Optimal Gene Regulatory Network Inference using the Boolean Kalman Filter and Multiple Model Adaptive Estimation

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Intrinsically Bayesian Robust Classifier for Single-Cell Gene Expression Time Series in Gene Regulatory Networks

# publications[].publisher
Association for Computing Machinery (ACM)

# publications[].label
Error Estimation for Pattern Recognition

# publications[].label
Intrinsically Bayesian robust classifier for single-cell gene expression trajectories in gene regulatory networks.

# publications[].label
Particle filters for partially-observed Boolean dynamical systems

# publications[].label
Optimal State Estimation for Boolean Dynamical Systems

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Confidence intervals for the true classification error conditioned on the estimated error.

# publications[].label
Superior feature-set ranking for small samples using bolstered error estimation.

# publications[].label
Plastic Contaminant Detection in Aerial Imagery of Cotton Fields Using Deep Learning

# publications[].label
Gene regulatory network state estimation from arbitrary correlated measurements

# publications[].label
Proceedings of the 2011 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) conference. Introduction.

# publications[].label
Exact performance of error estimators for discrete classifiers

# publications[].label
Unbiased bootstrap error estimation for linear discriminant analysis.

# publications[].label
BPDA - a Bayesian peptide detection algorithm for mass spectrometry.

# publications[].label
Rank discriminants for predicting phenotypes from RNA expression

# publications[].label
Effect of Mixing Probabilities on the Bias of Cross-Validation Under Separate Sampling

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
An asymptotically-exact expression for the variance of classification error for the discrete histogram rule

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Alternative complement pathway deregulation is correlated with dengue severity.

# publications[].label
Bayesian Classification of Proteomics Biomarkers from Selected Reaction Monitoring Data using an Approximate Bayesian Computation-Markov Chain Monte Carlo Approach.

# publications[].label
Small-sample error estimation: mythology versus mathematics

# publications[].publisher
SPIE, the international society for optics and photonics

# publications[].label
Optimal Finite-Horizon Sensor Selection for Boolean Kalman Filter

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Scalable optimal Bayesian classification of single-cell trajectories under regulatory model uncertainty.

# publications[].label
Multiple Model Adaptive Controller for Partially-Observed Boolean Dynamical Systems

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Self-Adaptive Physics-Informed Neural Networks using a Soft Attention   Mechanism

# publications[].label
Maximum-Likelihood Estimation of the Discrete Coefficient of Determination in Stochastic Boolean Systems

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
A Semi-Supervised Generative Adversarial Network for Prediction of   Genetic Disease Outcomes

# publications[].label
On the sampling distribution of resubstitution and leave-one-out error estimators for linear classifiers

# publications[].label
Modeling and systematic analysis of biomarker validation using selected reaction monitoring.

# publications[].label
On the Bias of Precision Estimation Under Separate Sampling.

# publications[].label
Performance of Error Estimators for Classification

# publications[].label
Impact of missing value imputation on classification for DNA microarray gene expression data--a model-based study.

# publications[].label
Optimal Fault Detection in Stochastic Boolean Regulatory Networks

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Grayscale level connectivity: theory and applications.

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
From functional genomics to functional immunomics: new challenges, old problems, big rewards.

# publications[].label
Improved Branch-and-Bound Algorithm for U-Curve Optimization

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
A stochastic metapopulation state-space approach to modeling and estimating COVID-19 spread.

# publications[].publisher
American Institute of Mathematical Sciences (AIMS)

# publications[].label
Serum cytokine/chemokine profiles in patients with dengue fever (DF) and dengue hemorrhagic fever (FHD) by using protein array.

# publications[].label
Semi-supervised learning approaches to class assignment in ambiguous microstructures

# publications[].label
Is bagging effective in the classification of small-sample genomic and proteomic data?

# publications[].label
CLASSIFICATION OF GAUSSIAN TRAJECTORIES WITH MISSING DATA IN BOOLEAN GENE REGULATORY NETWORKS

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
A Statistical Test for Intrinsically Multivariate Predictive Genes

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
HLA-B44 Is Associated with Dengue Severity Caused by DENV-3 in a Brazilian Population.

# publications[].label
Exact Performance of CoD Estimators in Discrete Prediction

# publications[].label
BPDA2d--a 2D global optimization-based Bayesian peptide detection algorithm for liquid chromatograph-mass spectrometry.

# publications[].label
Adaptive Particle Filtering for Fault Detection in Partially-Observed Boolean Dynamical Systems.

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Cross-validation under separate sampling: strong bias and how to correct it.

# publications[].label
Statistical Detection of Intrinsically Multivariate Predictive Genes.

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Analytic Study of Performance of Error Estimators for Linear Discriminant Analysis

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
PALLAS: Penalized mAximum LikeLihood and pArticle Swarms for Inference of Gene Regulatory Networks From Time Series Data.

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Optimal Fault Detection and Diagnosis in Transcriptional Circuits Using Next-Generation Sequencing.

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Network properties of intrinsically multivariate predictive genes

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Evaluation of the coverage and depth of transcriptome by RNA-Seq in chickens.

# publications[].label
A Mathematical Morphology Approach to the Star/Galaxy Characterization

# publications[].label
Proceedings of the 2009 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) Conference

# publications[].label
A fast Branch-and-Bound algorithm for U-curve feature selection

# publications[].label
Boolean Kalman filter and smoother under model uncertainty

# publications[].label
APPROXIMATE EXPRESSIONS FOR THE VARIANCES OF NON-RANDOMIZED ERROR ESTIMATORS AND COD ESTIMATORS FOR THE DISCRETE HISTOGRAM RULE

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Scalable Optimal Bayesian Classification of Single-Cell Trajectories under Regulatory Model Uncertainty

# publications[].publisher
Association for Computing Machinery (ACM)

# publications[].label
Topology correction in brain cortex segmentation using a multiscale, graph-based algorithm.

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
The illusion of distribution-free small-sample classification in genomics.

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# researcherOn[].label
Nutrition, Biostatistics and Bioinformatics Training Grant

# researcherOn[].awardedBy.label
National Institutes of Health - (Bethesda, Maryland, United States)

# researcherOn[].label
CAREER: Theory and Application of Small-Sample Error Estimation in Genomic Signal Processing

# researcherOn[].awardedBy.label
National Science Foundation - (Arlington, Virginia, United States)

# researcherOn[].label
CIF: Small: Optimal Estimation and Network Inference for Boolean Dynamical Systems

# researcherOn[].awardedBy.label
National Science Foundation - (Arlington, Virginia, United States)

# researcherOn[].label
CIF:Small:Minimum Mean Square Error Estimation and Control of Partially-Observed Boolean Dynamical Systems with Applications in Metagenomics

# researcherOn[].awardedBy.label
National Science Foundation - (Arlington, Virginia, United States)

# streetAddress
Texas A&M University; Electrical Engineering; 3128 TAMU

# inTheNews[].label
A&M professor, students create COVID-19 spread simulations to aide in university decision making

# inTheNews[].label
Engineering research program moves online

# etdChairOf[].label
Imani, Mahdi (2019-02). Estimation, Inference and Learning of Partially-Observed Dynamical Systems. Doctoral Dissertation.

# etdChairOf[].label
Atashpazgargari, Esmaeil (2014-08). Biomarker Discovery and Validation for Proteomics and Genomics: Modeling And Systematic Analysis. Doctoral Dissertation.

# etdChairOf[].label
Vu, Thang (2012-07). The Bootstrap in Supervised Learning and its Applications in Genomics/Proteomics. Doctoral Dissertation.

# etdChairOf[].label
McClenny, Levi Daniel (2016-08). Optimal State Estimation for Partially Observed Boolean Dynamical Systems in the Presence of Correlated Observation Noise. Master's Thesis.

# etdChairOf[].label
Sun, Youting (2012-07). Model-based Biomarker Detection and Systematic Analysis in Translational Science. Doctoral Dissertation.

# etdChairOf[].label
Jiang, Xingde (2016-08). Novel Pattern Recognition Approaches to Identification of Gene-Expression Pathways in Banana Cultivars. Doctoral Dissertation.

# etdChairOf[].label
Chen, Ting (2013-09). Estimation and Detection of Multivariate Gene Regulatory Relationships. Doctoral Dissertation.

# etdChairOf[].label
Bahadorinejad, Arghavan (2017-04). Fault Detection and Diagnosis in Gene Regulatory Networks and Optimal Bayesian Classification of Metagenomic Data. Doctoral Dissertation.

# etdChairOf[].label
Arslan, Emre (2018-11). A Novel Bayesian Rank-Based Framework for the Classification of High-Dimensional Biological Data. Doctoral Dissertation.

# etdChairOf[].label
Koonchanok, Ratanond (2017-12). Computational Tool for Applications of Sparse Canonical Correlation Analysis on Biological Data. Master's Thesis.

# etdChairOf[].label
Liu, Fan (2018-11). Network Analysis to Reveal Jasmonic Acid Pathway Related Mechanistic Changes for Drought-Tolerant Maize. Master's Thesis.

# etdChairOf[].label
Zollanvari, Amin (2012-02). Analytic Study of Performance of Error Estimators for Linear Discriminant Analysis with Applications in Genomics. Doctoral Dissertation.

# etdChairOf[].label
Nagaraja, Kashyap (2019-04). Bayesian Classification of Proteomics Biomarkers from Selected Reaction Monitoring Data Using an ABC-MCMC Approach. Master's Thesis.