Author

Anika Begum

Memorial Sloan Kettering Cancer Center

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Cancer Biology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

Frequent Co-Authors

Aasiya Islam· 1 shared Ahmet DoǧaniD· 1 shared Andrew T. AukermaniD· 1 shared Angela Rose BrannoniD· 1 shared Areej AlsaafiniD· 1 shared Arfath Pasha· 1 shared Armaan Kohli· 1 shared Atif J. KhaniD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperCancer Biology

Aasiya Islam

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Integrated histopathologic modeling of detailed tumor subtypes and actionable biomarkers

Kevin M Boehm, Madison Darmofal, Arfath Pasha, Andrew T. Aukerman, Raymond S. Lim, Evan Seffar, Tom Pollard, Natasha Rekhtman, Jason C. Chang, Armaan Kohli, Darin Moore, Marta Ligero, Jianjiong Gao, Georgios Asimomitis, Anika Begum, , Francisco Sánchez-Vega

The paper develops Mosaic, a machine learning system that classifies tumors into detailed subtypes and identifies molecular phenotypes using histopathologic and genomic data from a large patient cohort.

bioRxiv · Aug 14, 2025 · PreprintCancer Biology