Improve consensus partitioning via a hierarchical procedure.
Sign Up to like & getrecommendations! Published in 2022 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbac048
Abstract: Consensus partitioning is an unsupervised method widely used in high-throughput data analysis for revealing subgroups and assigning stability for the classification. However, standard consensus partitioning procedures are weak for identifying large numbers of stable subgroups.… read more here.
Keywords: analysis; consensus partitioning; hierarchical procedure; hierarchical consensus ... See more keywords
Ensembling of Gene Clusters Utilizing Deep Learning and Protein-Protein Interaction Information
Sign Up to like & getrecommendations! Published in 2020 at "IEEE/ACM Transactions on Computational Biology and Bioinformatics"
DOI: 10.1109/tcbb.2019.2918523
Abstract: Cluster ensemble techniques aim to combine the outputs of multiple clustering algorithms to obtain a single consensus partitioning. The current paper reports about the development of a cluster ensemble based technique combining the concepts of… read more here.
Keywords: protein protein; consensus partitioning; gene; protein interaction ... See more keywords