A hybrid stellar mass black-hole optimization framework for finding significant biclusters using average Kendall rank correlation. [PDF]
Balamurugan R.
europepmc +1 more source
Semantic locality-aware biclustering for brain functional network connectivity. [PDF]
Rahaman MA +4 more
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Outcome-guided spike-and-slab Lasso Biclustering: A Novel Approach for Enhancing Biclustering Techniques for Gene Expression Analysis. [PDF]
Vargas-Mieles LA, Kirk PDW, Wallace C.
europepmc +1 more source
Computational reconstruction of evolutionary selection in human brain networks. [PDF]
Piszczek L +4 more
europepmc +1 more source
Using Biclustering to Detect Cheating in Real Time on Mixed-Format Tests. [PDF]
Lee H, Vispoel WP.
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Robust knowledge-guided biclustering for multi-omics data. [PDF]
Zhang Q, Chang C, Long Q.
europepmc +1 more source
A survey of biclustering and clustering methods in clustering different types of single-cell RNA sequencing data. [PDF]
Lan C, Tang X, Liu C.
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A quantum-inspired classification for random mixed states. [PDF]
Sergioli G +6 more
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Software development for biclustering methods: The biclust GUI R package
This thesis is centered around the subject of biclustering which is the simultaneous clustering of genes and conditions in a gene expression matrix. The focus will not be on the actual methods themselves, but on the software development of their implementation in a user-friendly Graphical User Interface.
openaire +1 more source
Transcriptomic signatures in tetrapartite brain region identifies shared and unique gene signatures for substance-use. [PDF]
Veerappa A, Guda C.
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