KSMoFinder—knowledge graph embedding of proteins and motifs for predicting kinases of human phosphosites

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Publication Details

Journal
Bioinformatics Advances
Published
2024-12-26
DOI
https://doi.org/10.1093/bioadv/vbaf289
Citations
1
Primary Topic
Bioinformatics and Genomic Networks
Type
article
Field-Weighted Citation Impact
0.23
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article

KSMoFinder—knowledge graph embedding of proteins and motifs for predicting kinases of human phosphosites

Chuming Chen, Karen E. ROSS, K. Vijay‐Shanker, Cathy H. Wu et al.
1 citations
Bioinformatics Advances
Bioinformatics and Genomic Networks
0.23
article

KSMoFinder—knowledge graph embedding of proteins and motifs for predicting kinases of human phosphosites

Chuming Chen, Karen E. ROSS, K. Vijay‐Shanker, Cathy H. Wu, Manju Anandakrishnan
article en
1 citations

Abstract

No abstract available for this paper.
Bioinformatics AdvancesVol. 5(1)
Georgetown University (US), Georgetown University Medical Center (US), University of Delaware (US)
Openalex Percentile: Top 39%
Bioinformatics and Genomic Networks
0.23
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