Author

Akanksha Verma

Weill Cornell MedicineORCID 0000-0001-6121-801XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 1 Genetics· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Assay:imaging· 1 Approach:statistical model· 1

Frequent Co-Authors

Olivier ElementoiD· 2 shared Andrew G. ClarkiD· 1 shared Andrew R. MardersteiniD· 1 shared Bhavneet BhinderiD· 1 shared Jason G. MezeyiD· 1 shared Manik UppaliD· 1 shared Pegah KhosraviiD· 1 shared Samuel F. W. BakhoumiD· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Olivier ElementoORCID

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2 papers

Recent·Most cited

Genetic & Genomic MedicineiSciencePeer-reviewedApr 3, 2021

Using Histopathology Images to Predict Chromosomal Instability in Breast Cancer: A Deep Learning Approach

Zhuoran Xu, Akanksha Verma, Uska Naveed…·Olivier Elemento

This study uses deep learning to predict chromosomal instability (CIN) in breast cancer from histopathology images, achieving an AUC of 0.822 in a test set.

48 citations

humanimaging

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GeneticsbioRxivPreprintApr 19, 2019

Age, Sex, and Genetics Influence the Abundance of Infiltrating Immune Cells in Human Tissues

Andrew R. Marderstein, Manik Uppal, Akanksha Verma…·Olivier Elemento

The paper analyzes bulk RNA-seq data to identify factors influencing immune cell infiltration in human tissues, finding associations with age, sex, and genetic variants.

DOI 10.1101/614305

humanbulk RNA-seq

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