Grape-Pi: graph-based neural networks for enhanced protein identification in proteomics pipelines

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Journal
Bioinformatics Advances
Published
2024-12-26
DOI
https://doi.org/10.1093/bioadv/vbaf095
Primary Topic
Machine Learning in Bioinformatics
Type
article
Field-Weighted Citation Impact
0.00

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article

Grape-Pi: graph-based neural networks for enhanced protein identification in proteomics pipelines

Chong Wu, Ehsan Irajizad, Yining Cai, Samir Hanash et al.
Bioinformatics Advances
Machine Learning in Bioinformatics
article

Grape-Pi: graph-based neural networks for enhanced protein identification in proteomics pipelines

Chong Wu, Ehsan Irajizad, Yining Cai, Samir Hanash, Hiroyuki Katayama, Kim‐Anh Do, James P. Long, Jennifer B. Dennison, Chunhui Gu, Jody Vykoukal, Seyyed Mahmood Ghasemi, Johannes F Fahrmann
article en

Abstract

No abstract available for this paper.
Bioinformatics AdvancesVol. 5(1)
The University of Texas MD Anderson Cancer Center (US)
National Institutes of Health, University of Texas MD Anderson Cancer Center
Openalex Percentile: Top 77%
Machine Learning in Bioinformatics
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Grape-Pi: graph-based neural networks for enhanced protein identification in proteomics pipelines — Chong Wu, Ehsan Irajizad, et al. · Bioinformatics Advances (2024) | TGRS Research Map | TGRS