Statistical Inference for Clustering Results Interpretation in Clinical Practice
Sign Up to like & getrecommendations! Published in 2021 at "Studies in health technology and informatics"
DOI: 10.3233/shti210580
Abstract: The relevance of this study lies in improvement of machine learning models understanding. We present a method for interpreting clustering results and apply it to the case of clinical pathways modeling. This method is based… read more here.
Keywords: inference clustering; clustering results; results interpretation; statistical inference ... See more keywords
K-Module Algorithm: An Additional Step to Improve the Clustering Results of WGCNA Co-Expression Networks
Sign Up to like & getrecommendations! Published in 2021 at "Genes"
DOI: 10.3390/genes12010087
Abstract: Among biological networks, co-expression networks have been widely studied. One of the most commonly used pipelines for the construction of co-expression networks is weighted gene co-expression network analysis (WGCNA), which can identify highly co-expressed clusters… read more here.
Keywords: clustering results; expression networks; hierarchical clustering; module algorithm ... See more keywords