Author

Colleen C. Nelson

Translational Research InstituteORCID 0000-0001-6410-4843Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:clustering· 2 Research Focus:differential expression· 2 Organism:human· 2 Assay:scRNA-seq· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cancer & tumor microenvironment· 1

Frequent Co-Authors

Anja RockstrohiD· 2 shared Debarka SenguptaiD· 2 shared Gaurav AhujaiD· 2 shared Melanie LehmaniD· 2 shared N BhattacharyaiD· 2 shared Aayushi MittaliD· 1 shared Antoine RoquillyiD· 1 shared Anunay Yadav· 1 shared

Activity by Year

2022-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersCancer Biology

Anja RockstrohORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

Cancer BiologybioRxivPreprintJan 1, 2024

Valine Catabolism Drives Bioenergetic and Lipogenic Fuel Plasticity in Prostate Cancer

Charles L. Bidgood, Lisa K. Philp, Anja Rockstroh…·Jennifer H. Gunter

This study identifies valine catabolism as a key driver of bioenergetic and lipogenic flexibility in prostate cancer, with potential therapeutic implications.

DOI 10.1101/2024.01.01.573829

humanbulk RNA-seq

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BioinformaticsbioRxivPreprintDec 28, 2022

SCellBOW: AI-Driven Tumor Risk Stratification from Single-Cell Transcriptomics Using Phenotype Algebra

N Bhattacharya, Anja Rockstroh, Sanket Suhas Deshpande…·Debarka Sengupta

SCellBOW identifies and risk-stratifies tumor cell subpopulations using scRNA-seq data by simulating their impact on disease prognosis.

5 citations

humanscRNA-seq

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BioinformaticsbioRxivPreprintDec 27, 2022

Simultaneous visualization of cells and marker genes from scRNA-seq studies

N Bhattacharya, Swagatam Chakraborti, Krishan Gupta…·Debarka Sengupta

Stardust is a visualization method that embeds cells and marker genes together on a 2D map, performing competitively with existing tools on scRNA-seq and spatial transcriptomics data.

DOI 10.1101/2022.12.27.521966

scRNA-seqspatial transcriptomics

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