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Sergiusz Wesołowski, PhD
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Year
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), 1-12, 2019
452019
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
222013
Stochasticity and time delays in evolutionary games
J Miȩkisz, S Wesołowski
Dynamic games and applications 1 (3), 440-448, 2011
192011
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
142017
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
42021
A new framework for Euclidean summary statistics in the neural spike train space
S Wesolowski, RJ Contreras, W Wu
The Annals of Applied Statistics 9 (3), 1278-1297, 2015
42015
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
32022
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
22021
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
22021
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
22021
SRSF shape analysis for sequencing data reveal new differentiating patterns
S Wesolowski, D Vera, W Wu
Computational biology and chemistry 70, 56-64, 2017
22017
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
12021
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
2022
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 landscape of advanced prostate cancer patients with BRCA1 versus BRCA2 mutations as detected by comprehensive genomic profiling of cell-free DNA
U Swami, R Zimmerman, R Nussenzveig, E Hernandez, Y Jo, N Sayegh, ...
Frontiers in oncology 12, 2022
2022
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
2021
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
Genomic correlates of response to PD-1 axis inhibitors (IO) in metastatic urothelial cancer (mUC) using explainable artificial intelligence (AI).
S Wesolowski, R Nussenzveig, VS Santos, J Esther, D Goel, U Swami, ...
Journal of Clinical Oncology 38 (6_suppl), 570-570, 2020
2020
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Articles 1–20