🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

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Robert Cahill

Robert Cahill

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 2 papers. Top paper: “Machine Learning for Uncovering Biological Insights in Spatial Transcriptomics Data”.

Machine Learning for Uncovering Biological Insights in Spatial Transcriptomics Data

arXiv (Cornell University)(2023)10.48550/arxiv.2303.16725

N/A

0DataRank · unranked

1 citations

Robert Cahill, Reza Abbasi-Asl, Alex J. Lee

Practical Considerations for Machine Learning-Enabled Discoveries in Spatial Transcriptomics

GEN Biotechnology(2024)10.1089/genbio.2023.0050

N/A

0DataRank · unranked

1 citations

Robert Cahill, Reza Abbasi-Asl, Alex J. Lee