Author

Amrita Nagasuri

University of California, San FranciscoORCID 0009-0003-1211-4830Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:variant effect prediction· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Marina SirotaiD· 2 shared Tomiko OskotskyiD· 2 shared Adi SiddharthiD· 1 shared Aleksandar RajkoviciD· 1 shared Aryo Garakani· 1 shared Bryan Walters· 1 shared Catherine Hypes· 1 shared Christian Malte BeckeriD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersBioinformatics

Marina SirotaORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintSep 7, 2026

Predicting Endometriosis Status and Menstrual Cycle Phase Using DNA Methylation

Amrita Nagasuri, Umair Khan, Parker Grosjean…·Marina Sirota

This study uses DNA methylation data to predict endometriosis status and menstrual cycle phase, finding strong performance for cycle phase and moderate performance for endometriosis.

DOI 10.64898/2026.09.02.749016

humanDNA methylation

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Genetic & Genomic MedicineGenetics in MedicinePeer-reviewedMar 3, 2026

The Human Intolerome: a curated database to prioritize genomic variants in stillbirth, pregnancy loss, and neonatal death

Svetlana A. Yatsenko, Amrita Nagasuri, Vishal Soman…·Aleksandar Rajkovic

The paper introduces the Intolerome Database, a curated resource of genes essential for human viability, to help prioritize genomic variants in cases of stillbirth, pregnancy loss, and neonatal death.

1 citation

humanwhole-exome sequencing

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