Development of a Knowledge-Based Multi-Scheme Cancer Microarray Data Analysis System. - John H. Phan; Chang F. Quo; Kejiao Guo; Weimin Feng; Geoffrey Wang; May D. Wang (CSB, 2004)

Selecting Clinically-Driven Biomarkers for Cancer Nanotechnology. - John H. Phan; Andrew N. Young; May D. Wang (EMBC, 2006)

Bio-Nano-Informatics: An Integrated Information Management System for Personalized Oncology. - Todd H. Stokes; John H. Phan; Chang F. Quo; Shuming Nie; May D. Wang (EMBC, 2006)

Evolving Biological Behavior in Gene-Based Cellular Simulations. - John H. Phan; Richard A. Moffitt; Todd H. Stokes; May D. Wang (BIBE, 2007)

Estimating Classification Error to Identify Biomarkers in Time Series Expression Data. - John H. Phan; May D. Wang (BIBE, 2007)

Improving Microarray Sample Size Using Bootstrap Data Combination. - John H. Phan; Richard A. Moffitt; Andrea B. Barrett; May D. Wang (IMSCCS, 2008)

Improving the Efficiency of Biomarker Identification Using Biological Knowledge. - John H. Phan; Qiqin Yin-Goen; Andrew N. Young; May D. Wang (Pacific Symposium on Biocomputing, 2009)

A distributed system for fast alignment of next-generation sequencing data. - Jaydeep K. Srimani; Po-Yen Wu; John H. Phan; May D. Wang (BIBM Workshops, 2010)

Histological Image Feature Mining Reveals Emergent Diagnostic Properties for Renal Cancer. - Sonal Kothari; John H. Phan; Andrew N. Young; May D. Wang (BIBM, 2011)

Evaluation of normalization methods for RNA-Seq gene expression estimation. - Po-Yen Wu; John H. Phan; Fengfeng Zhou; May D. Wang (BIBM Workshops, 2011)

Exploring the feasibility of next-generation sequencing and microarray data meta-analysis. - Po-Yen Wu; John H. Phan; May D. Wang (EMBC, 2011)

Automatic batch-invariant color segmentation of histological cancer images. - Sonal Kothari; John H. Phan; Richard A. Moffitt; Todd H. Stokes; Shelby E. Hassberger; Qaiser Chaudry; Andrew N. Young; May D. Wang (ISBI, 2011)

caCORRECT2: Improving the accuracy and reliability of microarray data in the presence of artifacts. - Richard A. Moffitt; Qiqin Yin-Goen; Todd H. Stokes; R. Mitchell Parry; James H. Torrance; John H. Phan; Andrew N. Young; May D. Wang (BMC Bioinform., 2011)

Biological interpretation of morphological patterns in histopathological whole-slide images. - Sonal Kothari; Adeboye O. Osunkoya; John H. Phan; May D. Wang (BCB, 2012)

The effect of human genome annotation complexity on RNA-Seq gene expression quantification. - Po-Yen Wu; John H. Phan; May D. Wang (BIBM Workshops, 2012)

Scale normalization of histopathological images for batch invariant cancer diagnostic models. - Sonal Kothari; John H. Phan; May D. Wang (EMBC, 2012)

Improving the flexibility of RNA-Seq data analysis pipelines. - John H. Phan; Po-Yen Wu; May D. Wang (GENSiPS, 2012)

Reverse engineering biomolecular systems using -omic data: challenges, progress and opportunities. - Chang F. Quo; Chanchala Kaddi; John H. Phan; Amin Zollanvari; Mingqing Xu; May D. Wang; Gil Alterovitz (Briefings Bioinform., 2012)

Win percentage: a novel measure for assessing the suitability of machine classifiers for biological problems. - R. Mitchell Parry; John H. Phan; May D. Wang (BMC Bioinform., 2012)

Cardiovascular Genomics: A Biomarker Identification Pipeline. - John H. Phan; Chang F. Quo; May Dongmei Wang (IEEE Trans. Inf. Technol. Biomed., 2012)

Systematic Assessment of RNA-Seq Quantification Tools Using Simulated Sequence Data. - Raghu Chandramohan; Po-Yen Wu; John H. Phan; May D. Wang (BCB, 2013)

Exploration of genomic, proteomic, and histopathological image data integration methods for clinical prediction. - Anjaly Poruthoor; John H. Phan; Sonal Kothari; May D. Wang (ChinaSIP, 2013)

Benchmarking RNA-Seq quantification tools. - Raghu Chandramohan; Po-Yen Wu; John H. Phan; May D. Wang (EMBC, 2013)

An approach for assessing RNA-seq quantification algorithms in replication studies. - Po-Yen Wu; John H. Phan; May D. Wang (GENSiPS, 2013)

Assessing the impact of human genome annotation choice on RNA-seq expression estimates. - Po-Yen Wu; John H. Phan; May D. Wang (BMC Bioinform., 2013)

Histological image classification using biologically interpretable shape-based features. - Sonal Kothari; John H. Phan; Andrew N. Young; May D. Wang (BMC Medical Imaging, 2013)

Review: Pathology imaging informatics for quantitative analysis of whole-slide images. - Sonal Kothari; John H. Phan; Todd H. Stokes; May D. Wang (J. Am. Medical Informatics Assoc., 2013)

omniBiomarker: A Web-Based Application for Knowledge-Driven Biomarker Identification. - John H. Phan; Andrew N. Young; May Dongmei Wang (IEEE Trans. Biomed. Eng., 2013)

omniClassifier: a desktop grid computing system for big data prediction modeling. - John H. Phan; Sonal Kothari; May D. Wang (BCB, 2014)

Investigation of factors affecting RNA-seq gene expression calls. - Sahar Harati; John H. Phan; May D. Wang (EMBC, 2014)

The impact of RNA-seq alignment pipeline on detection of differentially expressed genes. - Cheng Yang 001; Po-Yen Wu; John H. Phan; May D. Wang (GlobalSIP, 2014)

Removing Batch Effects From Histopathological Images for Enhanced Cancer Diagnosis. - Sonal Kothari; John H. Phan; Todd H. Stokes; Adeboye O. Osunkoya; Andrew N. Young; May D. Wang (IEEE J. Biomed. Health Informatics, 2014)

The impact of RNA-seq aligners on gene expression estimation. - Cheng Yang 001; Po-Yen Wu; Li Tong 001; John H. Phan; May D. Wang (BCB, 2015)

Integration of multimodal RNA-seq data for prediction of kidney cancer survival. - Matt Schwartz; Martin Park; John H. Phan; May D. Wang (BIBM, 2015)

A semi-supervised method for predicting cancer survival using incomplete clinical data. - Hamid Reza Hassanzadeh; John H. Phan; May D. Wang (EMBC, 2015)

Effect of low-expression gene filtering on detection of differentially expressed genes in RNA-seq data. - Ying Sha; John H. Phan; May D. Wang (EMBC, 2015)

Detection of blur artifacts in histopathological whole-slide images of endomyocardial biopsies. - Hang Wu; John H. Phan; Ajay K. Bhatia; Caitlin A. Cundiff; Bahig M. Shehata; May D. Wang (EMBC, 2015)

Integration of multi-modal biomedical data to predict cancer grade and patient survival. - John H. Phan; Ryan Hoffman; Sonal Kothari; Po-Yen Wu; May D. Wang (BHI, 2016)

A multi-modal graph-based semi-supervised pipeline for predicting cancer survival. - Hamid Reza Hassanzadeh; John H. Phan; May D. Wang (BIBM, 2016)