Author

Ravi Sachidanandam

New York Medical CollegeORCID 0000-0001-9844-4459Unclaimed ORCID profile · follow to get notified of new preprints

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Ravi Sachidanandam1 paper

Biology Disciplines

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Genomics· 2 Immunology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Approach:statistical model· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Organism:chicken / avian· 1

Frequent Co-Authors

Andrew J. ChessiD· 1 shared Attila Gulyás-Kovács· 1 shared Barbara K Lipska· 1 shared Bernie DevliniD· 1 shared Chang-Gyu Hahn· 1 shared David A. LewisiD· 1 shared Deepali LehriiD· 1 shared Douglas M. RuderferiD· 1 shared

Activity by Year

2018-2026 · peak 2/yr

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10 top collaborators · 36 mutual co-author links

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1 shared paperGenomics

Andrew J. ChessORCID

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3 papers

Recent·Most cited

Embryonated chicken eggs clear systemic H3N2 influenza without RIG-I: transcriptomic evidence for innate sufficiency and brain immune privilege

Ozlem Gurses Sahin, Janice B. Fung, Deepali Lehri, Ravi Sachidanandam

This study uses transcriptomics to show that H3N2 influenza virus is cleared from chicken embryos' peripheral tissues without RIG-I, suggesting innate immunity sufficiency and brain immune privilege.

bioRxiv · Sep 3, 2026 · PreprintImmunology

Benchmarking DNA Foundation Models: Biological Blind Spots in Evo2 Variant-Effect Prediction

Vihaan Mathur, Ravi Sachidanandam

This study benchmarks DNA foundation models like Evo2, revealing blind spots in variant-effect prediction and highlighting reliance on sequence regularities over biological constraints.

bioRxiv · Mar 11, 2026 · PreprintGenomics

Unperturbed Expression Bias of Imprinted Genes in Schizophrenia

Attila Gulyás-Kovács, Ifat Keydar, Eva Xia, Menachem Fromer, Gabriel E. Hoffman, Douglas M. Ruderfer, Barbara K Lipska, Bernie Devlin, Chang-Gyu Hahn, David A. Lewis, Enrico Domenici, Eric Schadt, Hardik R Shah, Jessica Johnson, Joseph D. Buxbaum, , Andrew J. Chess

The paper analyzes allelic expression bias in schizophrenia using RNA-seq data to assess imprinted gene expression and its relationship with age, ancestry, and disease.

Nature Communications · Jul 19, 2018Peer-reviewedGenomics