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Bioinformatics Advances|December 16, 2024
Optimizing design of genomics studies for clonal evolution analysisArjun Srivatsa, Russell SchwartzPhysical Biology|May 24, 2017
Quantitative computational models of molecular self-assembly in systems biologyMarcus Thomas, Russell SchwartzBMC Systems Biology|June 10, 2018
A method for efficient Bayesian optimization of self-assembly systems from scattering dataMarcus Thomas, Russell SchwartzCell Biochemistry and Biophysics|August 19, 2007
Computational models of molecular self-organization in cellular environmentsPhilip LeDuc, Russell SchwartzThe Journal of Chemical Physics|December 3, 2008
Efficient stochastic sampling of first-passage times with applications to self-assembly simulationsNavodit Misra, Russell SchwartzBioinformatics Advances|October 31, 2025
Deconvolution and phylogeny inference of diverse variant types integrating bulk DNA-seq with single-cell RNA-seqNishat Anjum Bristy, Russell SchwartzNature Reviews. Genetics|February 14, 2017
The evolution of tumour phylogenetics: principles and practiceRussell Schwartz, Alejandro A SchäfferBiorxiv : the Preprint Server for Biology|February 20, 2025
Deconvolution and Phylogeny Inference of Diverse Variant Types Integrating Bulk DNA-seq with Single-cell RNA-seqNishat Anjum Bristy, Russell SchwartzPhysical Biology|December 15, 2010
A parameter estimation technique for stochastic self-assembly systems and its application to human papillomavirus self-assemblyM Senthil Kumar, Russell SchwartzMolecular Cancer Therapeutics|October 17, 2007
Response to trastuzumab, erlotinib, and bevacizumab, alone and in combination, is correlated with the level of human epidermal growth factor receptor-2 expression in human breast cancer cell linesDavid R Emlet, Kathryn A Brown, Deborah L Kociban, et al.Pageof 12