Balaji Iyer

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 4 papers. Top paper: “DeepImmuno: Deep learning-empowered prediction and generation of immunogenic peptides for T cell immunity”.

DeepImmuno: Deep learning-empowered prediction and generation of immunogenic peptides for T cell immunity

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.12.24.424262

N/A

0DataRank · unranked

14 citations

Balaji Iyer, V. B. Surya Prasath, Yizhao Ni, Nathan Salomonis, Guangyuan Li

DeepImmuno: deep learning-empowered prediction and generation of immunogenic peptides for T-cell immunity

Briefings in Bioinformatics(2021)10.1093/bib/bbab160

N/A

0DataRank · unranked

154 citations

Balaji Iyer, V. B. Surya Prasath, Yizhao Ni, Nathan Salomonis, Guangyuan Li

maxATAC: genome-scale transcription-factor binding prediction from ATAC-seq with deep neural networks

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.01.28.478235

N/A

0DataRank · unranked

3 citations

Faiz W. Rizvi, Balaji Iyer, Xiaoting Chen, Michael Kotliar, Anthony T. Bejjani +10 more

maxATAC: Genome-scale transcription-factor binding prediction from ATAC-seq with deep neural networks

PLoS Computational Biology(2023)10.1371/journal.pcbi.1010863

N/A

0DataRank · unranked

41 citations

Faiz W. Rizvi, Balaji Iyer, Xiaoting Chen, Michael Kotliar, Anthony T. Bejjani +10 more