Results 131 to 140 of about 3,388 (214)

Seed-based biclustering of gene expression data.

, 2012
BACKGROUND: Accumulated biological research outcomes show that biological functions do not depend on individual genes, but on complex gene networks. Microarray data are widely used to cluster genes according to their expression levels across experimental
Jiyuan An, Liew Alan Wee-Chung, Alan Wee-Chung Liew, An, Jiyuan, Alan Wee-Chung Liew (27983), Jiyuan An (139100), Liew, Alan Wee-Chung, Nelson, Colleen C, Nelson, Colleen, Colleen C. Nelson (139103), An Jiyuan, Nelson Colleen C., Nelson, Colleen C., Colleen C Nelson   +13 more
core   +1 more source

Biclustering by resampling

, 2010
The search for similarities in large data sets has a very important role in many scientific fields. It permits to classify several types of data without an explicit information about it.
E. NOSOVA, R. TAGLIAFERRI, ROVETTA, STEFANO, MASULLI, FRANCESCO   +3 more
core  

Ensemble Methods for Plaid Bicluster Algorithm [PDF]

, 2010
Pfundstein, Georg
core   +1 more source

Qualitative Biclustering with Bioconductor Package rqubic

, 2014
Biclustering has been suggested and found very useful to discover gene regulation patterns from gene expression microarrays. Several quantitative algorithms, among others CC and BIMAX, have been implemented in R, mainly by the biclust package.
Laura Badi, Jitao David Zhang, Martin Ebeling   +2 more
core  

Propagation-Based Biclustering Algorithm for Extracting Inclusion-Maximal Motifs

, 2016
Biclustering, which is simultaneous clustering of columns and rows in data matrix, became an issue when classical clustering algorithms proved not to be good enough to detect similar expressions of genes under subset of conditions.
Boryczko, Krzysztof, Orzechowski, Patryk
core  

Multi-Omic Bicluster Association Analysis (MOBAA)-a tool for identifying population subgroups with distinct multi-omics molecular profiles. [PDF]

Bioinform Adv
Mishra BH, Mishra PP.
europepmc   +1 more source

scDBic: a novel deep learning-based biclustering algorithm for analyzing scRNA-seq data. [PDF]

Bioinformatics
Tang X, Liu C, Lan C.
europepmc   +1 more source

A dual space MRI radiomic network signature for risk stratification and subtyping of mild cognitive impairment. [PDF]

iScience
Xiong D, Liu M, Xie J, Liu Z, Wang J.
europepmc   +1 more source

A formal explanation space for the simultaneous clustering of neurologic diseases based on their signs and symptoms. [PDF]

BMC Med Inform Decis Mak
Yelugam R, Hier DB, Obafemi-Ajayi T, Carrithers MD, Wunsch Ii DC.   +4 more
europepmc   +1 more source

A hybrid stellar mass black-hole optimization framework for finding significant biclusters using average Kendall rank correlation. [PDF]

Sci Rep
Balamurugan R.
europepmc   +1 more source