Author

V. Swamy

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· 2 Ecology· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:cell type annotation· 2 Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Research Focus:ecology & biodiversity· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1

Frequent Co-Authors

A. A. Ferrando· 1 shared A. Pomerantz· 1 shared A. S. Hansen· 1 shared A. Suresh· 1 shared C. Reglero· 1 shared D. Pak· 1 shared D. W. Felsher· 1 shared F. Cornejo· 1 shared

Activity by Year

2018-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 10 mutual co-author links

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1 shared paperCancer Biology

A. A. Ferrando

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Computational structure prediction methods enable the systematic identification of oncogenic mutations

X. Fu, C. Reglero, V. Swamy, J. W. Loh, H. Khiabanian, R. Albero, F. Forouhar, M. Al Quraishi, A. A. Ferrando, R. Rabadan

This paper introduces a computational method to identify oncogenic mutations by integrating evolutionary information and protein structure prediction, demonstrating its effectiveness in pediatric leukemias.

bioRxiv · Nov 18, 2022 · PreprintCancer Biology

MYC Overexpression Drives Immune Evasion in Human Cancer that is Reversible Through Restoration of Pro-Inflammatory Macrophages

R. Dhanasekaran, A. S. Hansen, J. Park, I. Lai, N. Adeniji, S. Kuruvilla, A. Suresh, V. Swamy, D. W. Felsher

This paper shows that MYC overexpression in cancers suppresses immune surveillance by inhibiting pro-inflammatory macrophages, and this immune evasion can be reversed by combined PDL1 and CTLA4 blockade.

bioRxiv · May 13, 2022 · PreprintCancer Biology

Multi-scale phenological niches of seed fall in diverse Amazonian plant communities

D. Pak, V. Swamy, P. Alvarez-Loayza, F. Cornejo, S. A. Queenborough, M. R. Metz, J. Terborgh, R. Valencia, S. J. Wright, N. C. Garwood, J. R. Lasky

The paper analyzes seed fall phenology in Amazonian plant communities to determine if patterns are non-random and identifies temporal scales and ecological drivers of reproductive phenology.

bioRxiv · Apr 10, 2021 · PreprintEcology

Nanopore sequencing of long ribosomal DNA amplicons enables portable and simple biodiversity assessments with high phylogenetic resolution across broad taxonomic scale

H. Krehenwinkel, A. Pomerantz, J. B. Henderson, S. R. Kennedy, J. Y. Lim, V. Swamy, J. D. Shoobridge, N. H. Patel, R. G. Gillespie, S. Prost

This study uses long rDNA amplicons sequenced on the MinION platform to enable portable, cost-effective biodiversity assessments with high phylogenetic resolution across broad taxonomic scales.

bioRxiv · Jun 29, 2018Ecology