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A family of mixture models for biclustering [PDF]
Statistical Analysis and Data Mining: The ASA Data Science Journal, 2021 AbstractBiclustering is used for simultaneous clustering of the observations and variables when there is no group structure known a priori. It is being increasingly used in bioinformatics, text analytics, and so on. Previously, biclustering has been introduced in a model‐based clustering framework by utilizing a structure similar to a mixture of factor
Wangshu Tu, Sanjeena Subedi
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An Efficient Algorithm for Convex Biclustering
Mathematics, 2021 We consider biclustering that clusters both samples and features and propose efficient convex biclustering procedures. The convex biclustering algorithm (COBRA) procedure solves twice the standard convex clustering problem that contains a non ...
Jie Chen, Joe Suzuki
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Colorectal Cancer-Associated Microbiome Patterns and Signatures
Frontiers in Genetics, 2021 The gut microbiome is dynamic and shaped by diet, age, geography, and environment. The disruption of normal gut microbiota (dysbiosis) is closely related to colorectal cancer (CRC) risk and progression.
Lan Zhao +4 more
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Improving the performance of the iterative signature algorithm for the identification of relevant patterns [PDF]
, 2011 The iterative signature algorithm (ISA) has become very attractive to detect co-regulated genes from microarray data matrices and can be a useful tool for the identification of similar patterns in many other kinds of numerical data matrices. Nevertheless,
Oliveira, J.L. +11 more
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Biclustering: Methods, Software and Application [PDF]
, 2011 Over the past 10 years, biclustering has become popular not only in the field of biological data analysis but also in other applications with high-dimensional two way datasets.
Kaiser, Sebastian
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Scientific Reports, 2017 In the analysis of large-scale gene expression data, it is important to identify groups of genes with common expression patterns under certain conditions. Many biclustering algorithms have been developed to address this problem.
Anindya Bhattacharya, Yan Cui
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Measuring organizational happiness in higher education - a data-driven approach
Cogent Education, 2023 The measurement of organizational satisfaction is a popular topic in organizational science; however, less attention is given to organizational happiness. There are very few measuring tools designed to evaluate organizational happiness.
Zsolt Tibor Kosztyán +5 more
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Biclustering of the Gene Expression Data by Coevolution Cuckoo Search [PDF]
International Journal Bioautomation, 2015 Biclustering has a potential to discover the local expression patterns analyzing the gene expression data which provide clues about biological processes.
Lu Yin, Yongguo Liu
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BMC Bioinformatics, 2008 Background The DNA microarray technology allows the measurement of expression levels of thousands of genes under tens/hundreds of different conditions.
Siu Wan-Chi +3 more
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BicOverlapper: A tool for bicluster visualization [PDF]
Bioinformatics, 2008 Abstract Summary: BicOverlapper is a tool to visualize biclusters from gene-expression matrices in a way that helps to compare biclustering methods, to unravel trends and to highlight relevant genes and conditions. A visual approach can complement biological and statistical analysis and reduce the time spent by specialists interpreting ...
Rodrigo Santamaría +2 more
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