Babak Behsaz

Also affiliated with Palo Alto Institute

Biochemistry, Genetics and Molecular BiologyBusiness, Management and AccountingComputer Science

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: “Unsupervised representation learning on high-dimensional clinical data improves genomic discovery and prediction”.

Unsupervised representation learning on high-dimensional clinical data improves genomic discovery and prediction

Nature Genetics(2024)10.1038/s41588-024-01831-6

N/A

0.550DataRank · unranked

38 citations

Justin Cosentino, Babak Behsaz, Zachary R. McCaw, Davin Hill, Robert Luben +12 more

Unsupervised representation learning improves genomic discovery and risk prediction for respiratory and circulatory functions and diseases

medRxiv(2023)10.1101/2023.04.28.23289285

N/A

0.241DataRank · unranked

4 citations

Justin Cosentino, Babak Behsaz, Zachary R. McCaw, Davin Hill, Robert Luben +12 more

Utilizing multimodal AI to improve genetic analyses of cardiovascular traits

medRxiv(2024)10.1101/2024.03.19.24304547

N/A

0.208DataRank · unranked

3 citations

Justin Cosentino, Taedong Yun, Mahantesh I. Biradar, Jacqueline Baras Shreibati, Dongbing Lai +14 more

Leveraging deep-learning on raw spirograms to improve genetic understanding and risk scoring of COPD despite noisy labels

medRxiv(2022)10.1101/2022.09.12.22279863

N/A

0.104DataRank · unranked

1 citations

Babak Behsaz, Babak Alipanahi, Zachary R. McCaw, Davin Hill, Tae‐Hwi Schwantes‐An +7 more