Shrabanti Chowdhury

Mount Sinai Medical Center — United States

Mathematics · Physical Sciences

18h-index3.7kcitations51works12.12yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Statistical Methods in Clinical Trials(12), Ferroptosis and cancer prognosis(8), Statistical Methods and Inference(7), Statistical Methods and Bayesian Inference(7), Advanced Proteomics Techniques and Applications(7)

Publications48 total

CTIM-03. PROTEIN CHANGES IN SERIAL CSF SAMPLES REFLECT CAR ACTIVITY, TOXICITY AND DISEASE RESPONSE IN PATIENTS WITH DIPG TREATED ON THE BRAINCHILD03 TRIAL
Neuro-Oncology·2025Open Access
Abstract 5019: Genomic landscape, tumor heterogeneity and immune-related post-translational regulation in cutaneous melanoma
Cancer Research·2025
Learning directed acyclic graphs for ligands and receptors based on spatially resolved transcriptomic data of ovarian cancer
Briefings in Bioinformatics·2025· 1 citedOpen Access
Improving the Youth HIV Prevention and Care Cascades: Innovative Designs in the Adolescent Trials Network for HIV/AIDS Interventions
UNC Libraries·2024Open Access
Abstract 3955: A proteogenomic study of high-grade glioma among adolescents and young adults
Cancer Research·2024
Pan-cancer proteogenomics characterization of tumor immunity
Cell·2024· 76 citedOpen Access
Proteogenomic analysis of chemo-refractory high-grade serous ovarian cancer
Cell·2024· 8 citedOpen Access
Integrative multi-omic cancer profiling reveals DNA methylation patterns associated with therapeutic vulnerability and cell-of-origin
Cancer Cell·2023· 90 citedOpen Access
Deep learning integrates histopathology and proteogenomics at a pan-cancer level
Cell Reports Medicine·2023· 30 citedOpen Access
Proteogenomic analysis of chemo-refractory high-grade serous ovarian cancer
Cell·2023· 83 citedOpen Access
Pan-cancer analysis of post-translational modifications reveals shared patterns of protein regulation
Cell·2023· 156 citedOpen Access
Pan-cancer proteogenomics connects oncogenic drivers to functional states
Cell·2023· 92 citedOpen Access
Bayesian Functional Data Analysis Over Dependent Regions and Its Application for Identification of Differentially Methylated Regions
Biometrics·2023Open Access
A multiplexed assay for quantifying immunomodulatory proteins supports correlative studies in immunotherapy clinical trials
Frontiers in Oncology·2023· 5 citedOpen Access
DAGBagM: learning directed acyclic graphs of mixed variables with an application to identify protein biomarkers for treatment response in ovarian cancer
BMC Bioinformatics·2022· 10 citedOpen Access
Internal Standard Triggered-Parallel Reaction Monitoring Mass Spectrometry Enables Multiplexed Quantification of Candidate Biomarkers in Plasma
Analytical Chemistry·2022· 29 citedOpen Access
Differential expression of single‐cell RNA‐seq data using Tweedie models
Statistics in Medicine·2022· 34 citedOpen Access
Bayesian Functional Data Analysis over Dependent Regions and Its Application for Identification of Differentially Methylated Regions
arXiv (Cornell University)·2021Open Access
Multiomic analysis identifies CPT1A as a potential therapeutic target in platinum-refractory, high-grade serous ovarian cancer
Cell Reports Medicine·2021· 71 citedOpen Access
A more powerful test for three-arm non-inferiority via risk difference: Frequentist and Bayesian approaches
Journal of Applied Statistics·2021· 2 citedOpen Access
page 1 of 3Next →

Frequent Co-authors

Pei Wang(23), Amanda G. Paulovich(23), Anna Calinawan(17), Francesca Petralia(15), Weiping Ma(15), Alexey I. Nesvizhskii(15), Jeffrey R. Whiteaker(14), Felipe da Veiga Leprevost(13), Henry Rodriguez(13), David Fenyö(13), Richard G. Ivey(12), Jacob J. Kennedy(12), Boris Reva(11), Antonio Colaprico(11), Mehdi Mesri(11), Marcin Cieślik(11), Michael J. Birrer(11), Xiaoyu Song(10), Ana I. Robles(10), Bing Zhang(10)