Results 41 to 50 of about 6,396 (182)
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
doaj
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
doaj +1 more source
Pairwise gene GO-based measures for biclustering of high-dimensional expression data [PDF]
, 2018 Background: Biclustering algorithms search for groups of genes that share the same behavior under a subset of samples in gene expression data. Nowadays, the biological knowledge available in public repositories can be used to drive these algorithms to
Aguilar Ruiz, Jesús Salvador +3 more
core +1 more source
SUBIC: A Supervised Bi-Clustering Approach for Precision Medicine
, 2017 Traditional medicine typically applies one-size-fits-all treatment for the entire patient population whereas precision medicine develops tailored treatment schemes for different patient subgroups.
Levy, Phillip +4 more
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Coordinated functional divergence of genes after genome duplication in Arabidopsis thaliana [PDF]
, 2017 Gene and genome duplications have been rampant during the evolution of flowering plants. Unlike small-scale gene duplications, whole-genome duplications (WGDs) copy entire pathways or networks, and as such create the unique situation in which such ...
De Smet, Riet +4 more
core +1 more source
Sparse Biclustering of Transposable Data [PDF]
Journal of Computational and Graphical Statistics, 2014 We consider the task of simultaneously clustering the rows and columns of a large transposable data matrix. We assume that the matrix elements are normally distributed with a bicluster-specific mean term and a common variance, and perform biclustering by maximizing the corresponding log likelihood.
Kean Ming, Tan, Daniela M, Witten
openaire +2 more sources
DeBi: Discovering Differentially Expressed Biclusters using a Frequent Itemset Approach
Algorithms for Molecular Biology, 2011 Background The analysis of massive high throughput data via clustering algorithms is very important for elucidating gene functions in biological systems. However, traditional clustering methods have several drawbacks.
Vingron Martin, Serin Akdes
doaj +1 more source
DNA Microarray Data Analysis: A Novel Biclustering Algorithm Approach
EURASIP Journal on Advances in Signal Processing, 2006 Biclustering algorithms refer to a distinct class of clustering algorithms that perform simultaneous row-column clustering. Biclustering problems arise in DNA microarray data analysis, collaborative filtering, market research, information retrieval ...
Tewfik Ahmed H, Tchagang Alain B
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Pattern Recognition of Food Security in Indonesia Using Biclustering Plaid Model
JTAM (Jurnal Teori dan Aplikasi Matematika), 2023 Biclustering come in various algorithms, selecting the most suitable biclustering algorithm can be a challenging task. The performance of algorithms can vary significantly depending on the specific data characteristics.
Nur Hikmah +2 more
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The Gibbs-plaid biclustering model
, 2015 We propose and develop a Bayesian plaid model for biclustering that accounts for the prior dependency between genes (and/or conditions) through a stochastic relational graph.
Chekouo, Thierry +2 more
core +1 more source