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

Guo-Hua Yuan

ORCID: 0000-0002-8459-3784

Biochemistry, 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: “SCAPTURE: a deep learning-embedded pipeline that captures polyadenylation information from 3′ tag-based RNA-seq of single cells”.

SCAPTURE: a deep learning-embedded pipeline that captures polyadenylation information from 3′ tag-based RNA-seq of single cells

Genome biology(2021)10.1186/s13059-021-02437-5

N/A

0DataRank · unranked

42 citations

Nan Fang, Guo-Hua Yuan, Chu‐Xiao Liu, Xindong Liu, Ling‐Ling Chen +3 more

SCAPTURE: a deep learning-embedded pipeline that captures polyadenylation information from 3’ tag-based RNA-seq of single cells

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.03.17.435782

N/A

0DataRank · unranked

3 citations

Nan Fang, Guo-Hua Yuan, Bin Tian, Li Yang, Guo‐Wei Li

Large-scale benchmarking of circRNA detection tools reveals large differences in sensitivity but not in precision

Nature Methods(2023)10.1038/s41592-023-01944-6

N/A

0DataRank · unranked

106 citations

Jasper Anckaert, Stefania Bortoluzzi, Alessia Buratin, Chia-Ying Chen, Qinjie Chu +31 more