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

Caleb K. Chan

Sunesis (United States)

ORCID: 0000-0002-6367-5617

MedicineImmunology and MicrobiologyBiochemistry, Genetics and Molecular Biology

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 3 papers. Top paper: “Quantitative comparison of principal component analysis and unsupervised deep learning using variational autoencoders for shape analysis of motile cells”.

Quantitative comparison of principal component analysis and unsupervised deep learning using variational autoencoders for shape analysis of motile cells

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.06.26.174474

N/A

0DataRank · unranked

19 citations

Amalia Hadjitheodorou, Tony Tsai, Julie A. Theriot, Caleb K. Chan

Mapping variation in the morphological landscape of human cells with optical pooled CRISPRi screening

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.12.27.522042

N/A

0DataRank · unranked

7 citations

Adrian L. Sanborn, Cynthia V. Hao, Caleb K. Chan, Nathan M. Belliveau, Eva Maxfield Brown +3 more

Reviewer #3 (Public Review): Mapping variation in the morphological landscape of human cells with optical pooled CRISPRi screening

(2024)10.7554/elife.94964.1.sa0

N/A

0DataRank · unranked

0 citations

Adrian L. Sanborn, Cynthia V. Hao, Caleb K. Chan, Nathan M. Belliveau, Eva M. Brown +3 more