De novo and recessive forms of congenital heart disease have distinct genetic and phenotypic landscapes WS Watkins, EJ Hernandez, S Wesolowski, BW Bisgrove, RT Sunderland, ... Nature communications 10 (1), 4722, 2019 | 77 | 2019 |
A comparison of methods for RNA-seq differential expression analysis and a new empirical Bayes approach S Wesolowski, MR Birtwistle, GA Rempala Biosensors 3 (3), 238-258, 2013 | 32 | 2013 |
Stochasticity and time delays in evolutionary games J Miȩkisz, S Wesołowski Dynamic games and applications 1, 440-448, 2011 | 27 | 2011 |
An explainable artificial intelligence approach for predicting cardiovascular outcomes using electronic health records S Wesołowski, G Lemmon, EJ Hernandez, A Henrie, TA Miller, ... PLOS digital health 1 (1), e0000004, 2022 | 19 | 2022 |
Shape-based data analysis for event classification in power systems J Cordova, R Arghandeh, Y Zhou, S Wesolowski, W Wu, S Matthias 2017 IEEE Manchester PowerTech, 1-6, 2017 | 14 | 2017 |
Identification of Somatic Gene Signatures in Circulating Cell-Free DNA Associated with Disease Progression in Metastatic Prostate Cancer by a Novel Machine … E Lin, AW Hahn, RH Nussenzveig, S Wesolowski, N Sayegh, ... The Oncologist 26 (9), 751-760, 2021 | 10 | 2021 |
A Poisson binomial-based statistical testing framework for comorbidity discovery across electronic health record datasets G Lemmon, S Wesolowski, A Henrie, M Tristani-Firouzi, M Yandell Nature computational science 1 (10), 694-702, 2021 | 7 | 2021 |
Comprehensive genomic profiling of cell-free DNA in men with advanced prostate cancer: differences in genomic landscape based on race R Zimmerman, MA Bilen, EI Heath, L Nandagopal, U Swami, A Kessel, ... The Oncologist 27 (10), e815-e818, 2022 | 6 | 2022 |
Differences in the tumor genomic landscape between African Americans (AA) and Caucasians (CA) advanced prostate cancer (aPC) patients (pts) by comprehensive genomic profiling … PC Barata, R Reisinger, MA Bilen, EI Heath, L Nandagopal, U Swami, ... Journal of Clinical Oncology 39 (15_suppl), 5058-5058, 2021 | 3 | 2021 |
Genomic landscape of advanced prostate cancer patients with BRCA1 versus BRCA2 mutations as detected by comprehensive genomic profiling of cell-free DNA U Swami, RM Zimmerman, RH Nussenzveig, EJ Hernandez, Y Jo, ... Frontiers in Oncology 12, 966534, 2022 | 2 | 2022 |
A Poisson binomial based statistical testing framework for comprehensive comorbidity discovery across massive Electronic Health Record datasets G Lemmon, S Wesolowski, A Henrie, M Tristani-Firouzi, M Yandell medRxiv, 2021.07. 14.21260532, 2021 | 2 | 2021 |
Landscape of circulating tumor DNA (ctDNA) abnormalities in advanced prostate cancer (aPCa): Distinctions in African American (AA) versus Caucasian (Ca) patients. PC Barata, U Swami, A Kessel, E Jaeger, S Wesolowski, J Chipman, ... Journal of Clinical Oncology 39 (6_suppl), 156-156, 2021 | 2 | 2021 |
SRSF shape analysis for sequencing data reveal new differentiating patterns S Wesolowski, D Vera, W Wu Computational biology and chemistry 70, 56-64, 2017 | 2 | 2017 |
A new framework for Euclidean summary statistics in the neural spike train space S Wesolowski, RJ Contreras, W Wu | 2 | 2015 |
Abstract P164: Understanding The Health Of Mothers Of A Child With Congenital Heart Disease Utilizing Electronic Health Record Data RK Delaney, S Wesolowski, M Tristani-Firouzi, A Fagerlin, NM Pinto, ... Circulation 143 (Suppl_1), AP164-AP164, 2021 | 1 | 2021 |
A comparison of Euclidean metrics and their application in statistical inferences in the spike train space S Wesolowski, AA Nikonov, RJ Contreras, W Wu arXiv preprint arXiv:1402.0863, 2014 | 1 | 2014 |
1383P Genomic landscape of advanced prostate cancer patients with BRCA1 versus BRCA2 mutations as detected by comprehensive genomic profiling (CGP) of cell-free DNA (cfDNA) R Reisinger, U Swami, EJ Hernandez, N Sayegh, S Wesolowski, ... Annals of Oncology 33, S1175, 2022 | | 2022 |
Genomic predictors of response to PD-1 axis inhibitors in metastatic urothelial cancer (mUC) patients using machine learning analysis of tissue comprehensive genomic profiling … R Reisinger, V Sacristan Santos, R Nussenzveig, S Wesolowski, ... Journal of Clinical Oncology 39 (15_suppl), 4542-4542, 2021 | | 2021 |
Differences in the genomic landscape of advanced prostate cancer (aPC) patients (pts) with BRCA1 versus BRCA2 mutations as detected by machine learning analysis of the … R Reisinger, S Wesolowski, U Swami, PC Barata, EJ Hernandez, ... Journal of Clinical Oncology 39 (6_suppl), 162-162, 2021 | | 2021 |
Genomic alterations associated with the progression from castration-sensitive to castration-resistant metastatic prostate cancer based on machine learning analysis of cell-free … E Lin, AW Hahn, R Nussenzveig, S Wesolowski, BL Maughan, ... Journal of Clinical Oncology 38 (15_suppl), e17596-e17596, 2020 | | 2020 |