Sehwan Moon

Electronics and Telecommunications Research Institute

EngineeringBiochemistry, 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 1 paper. Top paper: “MOMA: a multi-task attention learning algorithm for multi-omics data interpretation and classification”.

MOMA: a multi-task attention learning algorithm for multi-omics data interpretation and classification

Bioinformatics(2022)10.1093/bioinformatics/btac080

N/A

0DataRank · unranked

89 citations

Hyunju Lee, Sehwan Moon