Papers: 10.1038/s41598-021-89429-4
https://doi.org/10.1038/s41598-021-89429-4
Identification of a methylomics-associated nomogram for predicting overall survival of stage I–II lung adenocarcinoma
Cited by: 1
Author(s): Heng Wang, Chuangye Wei, Peng Pan, Fengfeng Yuan, Jiancheng Cheng
Published: about 4 years ago
Software Mentions 6
bioconductor: GSVA
Gene Set Variation Analysis for microarray and RNA-seq dataPapers that mentioned: 893
Very Likely Science (100)
Very Likely Science (100)
bioconductor: wateRmelon
Illumina 450 and EPIC methylation array normalization and metricsPapers that mentioned: 108
Very Likely Science (98)
Very Likely Science (100)
cran: survivalROC
Time-Dependent ROC Curve Estimation from Censored Survival DataPapers that mentioned: 479
Very Likely Science (75)
pypi: GSVA
Python CLI and module for running the GSVA R bioconductor package with Python Pandas inputs and outputs.Papers that mentioned: 893
Very Likely Science (100)