MetaGSCA: A tool for meta-analysis of gene set differential coexpression.
Analyses of gene set differential coexpression may shed light on molecular mechanisms underlying phenotypes and diseases. However, differential coexpression analyses of conceptually similar individual studies are often inconsistent and underpowered to provide definitive results. Researchers can grea...
Päätekijät: | Yan Guo, Hui Yu, Haocan Song, Jiapeng He, Olufunmilola Oyebamiji, Huining Kang, Jie Ping, Scott Ness, Yu Shyr, Fei Ye |
---|---|
Aineistotyyppi: | Artikkeli |
Kieli: | English |
Julkaistu: |
Public Library of Science (PLoS)
2021-05-01
|
Sarja: | PLoS Computational Biology |
Linkit: | https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1008976&type=printable |
Samankaltaisia teoksia
-
Model persamaan struktural dengan generalized structured component analysis (GSCA)
Tekijä: , WACIKO, Kadek Jemmy, et al.
Julkaistu: (2009) -
Comparison of Bootstrap Confidence Interval Methods for GSCA Using a Monte Carlo Simulation
Tekijä: Kwanghee Jung, et al.
Julkaistu: (2019-10-01) -
Analysis of Food Security Factors in Indonesia using SEM-GSCA with the Alternating Least Squares Method
Tekijä: Wardhani Utami Dewi, et al.
Julkaistu: (2024-03-01) -
GSCA-UNet: Towards Automatic Shadow Detection in Urban Aerial Imagery with Global-Spatial-Context Attention Module
Tekijä: Yuwei Jin, et al.
Julkaistu: (2020-09-01) -
Social and Management Research Quantitative Analysis for Medium Sample: Comparing of Lisrel, Tetrad, GSCA, Amos, SmartPLS, WarpPLS, and SPSS
Tekijä: Agus Purwanto, et al.
Julkaistu: (2020-12-01)