Michael Q. Ding

Computer ScienceBiochemistry, Genetics and Molecular BiologyMedicine

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: “Learning to encode cellular responses to systematic perturbations with deep generative models”.

Learning to encode cellular responses to systematic perturbations with deep generative models

npj Systems Biology and Applications(2020)10.1038/s41540-020-00158-2

N/A

0.406DataRank · unranked

14 citations

Michael Q. Ding, Xinghua Lu, Yifan Xue

Learning to Encode Cellular Responses to Systematic Perturbations with Deep Generative Models

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.01.14.906768

N/A

0DataRank · unranked

2 citations

Michael Q. Ding, Xinghua Lu, Yifan Xue