Author

Konrad Stawiski

Dana-Farber Cancer InstituteORCID 0000-0002-6550-3384Unclaimed ORCID profile · follow to get notified of new preprints

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Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1

Frequent Co-Authors

Daniel E. MichaudiD· 2 shared Filipe L.F. CarvalhoiD· 2 shared Jennifer L. GuerrieroiD· 2 shared Ji‐Hyun LeeiD· 2 shared Joaquim Bellmunt BiD· 2 shared Kent William MouwiD· 2 shared Adam DurczyńskiiD· 1 shared Adam S. KibeliD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 34 mutual co-author links

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2 shared papersCancer Biology

Daniel E. MichaudORCID

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3 papers

Recent·Most cited

Tumor-myeloid crosstalk drives therapy resistance in localized bladder cancer

Filipe L.F. Carvalho, Ji‐Hyun Lee, Nikolaos Kalavros, Yuzhen Zhou, Daniel E. Michaud, Isabella Stelter, Hiba Siddiqui, Konrad Stawiski, Ramya Ravindranathan, Julia Perera, Shuoshuo Wang, Breanna M. Titchen, Amanda Garza, Kevin Bi, Jihye Park, , Eliezer M. Van Allen

This study identifies tumor-myeloid crosstalk as a driver of cisplatin resistance in bladder cancer and proposes PARP14 inhibition as a therapeutic strategy.

Cell Press Blue · Aug 20, 2026Peer-reviewedCancer Biology

Tumor B cell infiltration in platinum-treated advanced urothelial carcinoma

Konrad Stawiski, Júlia Perera‐Bel, Alejo Rodríguez‐Vida, Nuria Juanpere-Rodero, Ji‐Hyun Lee, Daniel E. Michaud, Jennifer L. Guerriero, Kent William Mouw, Aristotelis Bamias, Filipe L.F. Carvalho, Joaquim Bellmunt B

The paper examines how platinum-based chemotherapy affects tumor immune microenvironments in urothelial cancer, finding that memory B cell infiltration correlates with improved survival in cisplatin-treated patients.

bioRxiv · Feb 27, 2025 · PreprintCancer Biology

OmicSelector: automatic feature selection and deep learning modeling for omic experiments.

Konrad Stawiski, Marcin Kaszkowiak, Damian Mikulski, Piotr Hogendorf, Adam Durczyński, Janusz Strzelczyk, Dipanjan Chowdhury, Wojciech M Fendler

OmicSelector automates feature selection and deep learning modeling for omic experiments, identifying overfitting-resistant biomarker sets with high diagnostic potential.

bioRxiv · Jun 1, 2022 · PreprintBioinformatics