MBC PathNet: integration and visualization of networks connecting functionally related pathways predicted from transcriptomic and proteomic datasets

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Publication Details

Journal
Bioinformatics Advances
Published
2024-12-26
DOI
https://doi.org/10.1093/bioadv/vbaf197
Citations
1
Primary Topic
Bioinformatics and Genomic Networks
Type
article
Field-Weighted Citation Impact
0.23

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article

MBC PathNet: integration and visualization of networks connecting functionally related pathways predicted from transcriptomic and proteomic datasets

Ravi Iyengar, Jens Hansen
1 citations
Bioinformatics Advances
Bioinformatics and Genomic Networks
0.23
article

MBC PathNet: integration and visualization of networks connecting functionally related pathways predicted from transcriptomic and proteomic datasets

Ravi Iyengar, Jens Hansen
article en
1 citations

Abstract

No abstract available for this paper.
Bioinformatics AdvancesVol. 5(1)
Icahn School of Medicine at Mount Sinai (US)
National Institutes of Health
Openalex Percentile: Top 39%
Bioinformatics and Genomic Networks
0.23
DOIOpen Access PDFOpenAlex
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MBC PathNet: integration and visualization of networks connecting functionally related pathways predicted from transcriptomic and proteomic datasets — Ravi Iyengar, Jens Hansen · Bioinformatics Advances (2024) | TGRS Research Map | TGRS