WebCMap: an R package for high-throughput connectivity analysis within the CMap framework

Authors

Institutions

Publication Details

Journal
Bioinformatics Advances
Published
2024-12-26
DOI
https://doi.org/10.1093/bioadv/vbaf278
Citations
1
Primary Topic
Bioinformatics and Genomic Networks
Type
article
Field-Weighted Citation Impact
0.23

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

WebCMap: an R package for high-throughput connectivity analysis within the CMap framework

Hongen Kang, Peilin Jia, Yin‐Ying Wang
1 citations
Bioinformatics Advances
Bioinformatics and Genomic Networks
0.23
article

WebCMap: an R package for high-throughput connectivity analysis within the CMap framework

Hongen Kang, Peilin Jia, Yin‐Ying Wang
article en
1 citations

Abstract

No abstract available for this paper.
Bioinformatics AdvancesVol. 5(1)
Chinese Academy of Sciences (CN), Beijing Institute of Genomics (CN), Shanghai Center For Bioinformation Technology (CN)
National Natural Science Foundation of China, Chinese Academy of Sciences
Openalex Percentile: Top 39%
Bioinformatics and Genomic Networks
0.23
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.