Author

Amit R. Indap

ORCID 0000-0002-3322-4735Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Organism:human· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

A. Dantas· 1 shared Ananya PavuluriiD· 1 shared Billie Gould· 1 shared Jesus Ching· 1 shared Kelly Lacob· 1 shared Nadiia Salakh· 1 shared Olga Sazonova· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

A. Dantas

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1 paper

Recent·Most cited

The Xella Clock: a female-specific epigenetic aging clock optimized for menstrual fluid and endometrial tissue

Ananya Pavuluri, Billie Gould, Amit R. Indap, Nadiia Salakh, Kelly Lacob, A. Dantas, Olga Sazonova, Jesus Ching

The paper develops a deep learning-based epigenetic aging clock, the Xella Clock, optimized for menstrual fluid and endometrial tissue, showing better performance than existing clocks in predicting chronological age.

medRxiv · Aug 10, 2026 · PreprintGenetic & Genomic Medicine