Papers: 10.3389/fcell.2021.718638

https://doi.org/10.3389/fcell.2021.718638

Identification of ARHGEF38, NETO2, GOLM1, and SAPCD2 Associated With Prostate Cancer Progression by Bioinformatic Analysis and Experimental Validation

Cited by: 8
Author(s): Zhuolun Sun, Yunfei Mao, Xu Zhang, Shuo Lu, Hua Wang, Chi Zhang, Chutian Xiao, Yinghao Cao, Yunhao Qing, Yu Wang, Ké Li
Published: about 5 years ago

Software Mentions 3

bioconductor: clusterProfiler
A universal enrichment tool for interpreting omics data
Papers that mentioned: 2,223
Very Likely Science (75)
bioconductor: limma
Linear Models for Microarray Data
Papers that mentioned: 7,776
Very Likely Science (78)
cran: WGCNA
Weighted Correlation Network Analysis
Papers that mentioned: 3,479
Very Likely Science (85)