Journal Article Machine Learning Approaches for Predicting Radiation Therapy Outcomes: A Clinician's Perspective 2015 • International Journal of Radiation Oncology Biology Physics • 93(5):1127-1135 Kang J, Schwartz R, Flickinger J, Beriwal S
Conference Reconstructing evolutionary models of tumor progression from single-cell heterogeneity data 2015 • Cancer Research • 75: Chowdhury SA, Gertz EM, Wangsa D, Heselmeyer-Haddad K, Ried T, Schaeffer A, Schwartz R
Conference Reference-free inference of tumor phylogenies from single-cell sequencing data 2015 • BMC Genomics • 16: Subramanian A, Schwartz R
Conference Single-cell genetic analysis reveals insights into clonal development of cervical cancer and confirms TERC as an early and dominant aberration 2015 • Cancer Research • 75: Hernandez LS, Bradley A, Gaiser T, Andersson S, Gertz EM, Chowdhury SA, Schwartz R, Schaeffer A, Heselmeyer-Haddad K, Ried T
Journal Article Structurally Governed Cell Mechanotransduction through Multiscale Modeling 2015 • Scientific Reports • 5: Kang J, Puskar KM, Ehrlicher AJ, LeDuc PR, Schwartz RS
Journal Article A Novel Subset of Human Tumors That Simultaneously Overexpress Multiple E2F-responsive Genes Found in Breast, Ovarian, and Prostate Cancers 2014 • Cancer Informatics • 13:89-100 Shackney S, Chowdhury S, Schwartz R
Journal Article Algorithms to Model Single Gene, Single Chromosome, and Whole Genome Copy Number Changes Jointly in Tumor Phylogenetics 2014 • PLoS Computational Biology • 10(7): Chowdhury SA, Shackney SE, Heselmeyer-Haddad K, Ried T, Schaeffer AA, Schwartz R
Journal Article Applying Molecular Crowding Models to Simulations of Virus Capsid Assembly <i>In Vitro</i> 2014 • Biophysical Journal • 106(1):310-320 Smith GR, Xie L, Lee B, Schwartz R
Journal Article Bioinformatics Curriculum Guidelines: Toward a Definition of Core Competencies 2014 • PLoS Computational Biology • 10(3): Welch L, Lewitter F, Schwartz R, Brooksbank C, Radivojac P, Gaeta B, Schneider MV
Conference Evaluating the Influence of Environment on Virus Capsid Assembly Pathways through Stochastic Simulation 2014 • Biophysical Journal • 106(2):61A-61A Smith GR, Xie L, Lee B, Schwartz R
Conference Inferring evolutionary models of tumor progression from single-cell heterogeneity data 2014 • Cancer Research • 74(19): Chowdhury SA, Subramanian A, Schaeffer AA, Shackney SE, Wangsa D, Heselmeyer-Haddad K, Ried T, Schwartz R
Journal Article Network and Pathway Analysis of Cancer Susceptibility (A) 2014 • Cancer Informatics • 13:125-127 Guo N, Schwartz R, Qian J, Jia P, Deng Y
Journal Article Phenotypic Signatures Arising from Unbalanced Bacterial Growth 2014 • PLoS Computational Biology • 10(8): Tan C, Smith RP, Tsai M-C, Schwartz R, You L
Conference Reference-free Inference of Tumor Phylogenies from Single-Cell Sequencing Data 2014 • IEEE ... International Conference on Computational Advances in Bio and Medical Sciences : [proceedings]. IEEE International Conference on Computational Advances in Bio and Medical Sciences Subramanian A, Schwartz R
Journal Article Reply to 'Complexity of molecular crowding in cell-free enzymatic reaction networks' 2014 • Nature Nanotechnology • 9(6):407-+ Tan C, Saurabh S, Bruchez MP, Schwartz R, LeDuc P
Journal Article Single-Cell Genetic Analysis Reveals Insights into Clonal Development of Prostate Cancers and Indicates Loss of PTEN as a Marker of Poor Prognosis 2014 • American Journal of Pathology • 184(10):2671-2686 Heselmeyer-Haddad KM, Garcia LYB, Bradley A, Hernandez L, Hu Y, Habermann JK, Dumke C, Thorns C, Perner S, Pestova E, Burke C, Chowdhury SA, Schwartz R, Schaeffer AA, Paris PL, Ried T
Journal Article A mixed integer linear programming model to reconstruct phylogenies from single nucleotide polymorphism haplotypes under the maximum parsimony criterion 2013 • Algorithms for Molecular Biology • 8: Catanzaro D, Ravi R, Schwartz R
Conference Applying Cellular Crowding Models to Simulations of Virus Capsid Assembly In Vitro 2013 • Biophysical Journal • 104(2):413A-413A Smith GR, Xie L, Lee B, Schwartz R
Journal Article Coalescent-Based Method for Learning Parameters of Admixture Events from Large-Scale Genetic Variation Data 2013 • IEEE/ACM Transactions on Computational Biology and Bioinformatics • 10(5):1137-1149 Tsai M-C, Blelloch G, Ravi R, Schwartz R
Conference Improving Inference of Rate Parameters for Viral Capsid Assembly Systems 2013 • Biophysical Journal • 104(2):413A-413A Xie L, Smith GR, Schwartz R
Conference Inference of tumor phylogenetic markers from large copy number datasets. 2013 • Cancer Research • 73(8): Subramanian A, Shackney S, Schwartz R
Conference Modeling Mechanotransduction Signaling through Actin Filament Network Deformation Linked to Biochemical Response 2013 • Biophysical Journal • 104(2):317A-318A Kang J, Puskar KM, Schwartz RS, LeDuc PR
Journal Article Molecular crowding shapes gene expression in synthetic cellular nanosystems 2013 • Nature Nanotechnology • 8(8):602-608 Tan C, Saurabh S, Bruchez MP, Schwartz R, LeDuc P
