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Papers: 10.1186/s12920-020-00754-5

https://doi.org/10.1186/s12920-020-00754-5

Identification of potential crucial genes in atrial fibrillation: a bioinformatic analysis

Cited by: 15
Author(s): Junguo Zhang, Xin Huang, Xiaojie Wang, Yanhui Gao, Li Liu, Ziyi Li, Xuejiao Chen, Jie Zeng, Zebing Ye, Guowei Li
Published: over 6 years ago

Software Mentions 10

bioconductor: clusterProfiler
A universal enrichment tool for interpreting omics data
Papers that mentioned: 2,223
Very Likely Science (75)
bioconductor: DOSE
Disease Ontology Semantic and Enrichment analysis
Papers that mentioned: 138
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bioconductor: graphite
GRAPH Interaction from pathway Topological Environment
Papers that mentioned: 30
Very Likely Science (100)
bioconductor: limma
Linear Models for Microarray Data
Papers that mentioned: 7,776
Very Likely Science (78)
bioconductor: pathview
a tool set for pathway based data integration and visualization
Papers that mentioned: 144
Very Likely Science (100)
bioconductor: ReactomePA
Reactome Pathway Analysis
Papers that mentioned: 171
Very Likely Science (100)
bioconductor: sva
Surrogate Variable Analysis
Papers that mentioned: 511
Very Likely Science (100)
cran: ggplot2
Create Elegant Data Visualisations Using the Grammar of Graphics
Papers that mentioned: 11,441
Very Likely Science (100)
pypi: ggplot
ggplot for python
Papers that mentioned: 796
Very Likely Science (100)
pypi: graphite
Papers that mentioned: 30
Very Likely Science (65)