Results 31 to 40 of about 3,887,902 (293)
, 2008 This report contains a gene expression summary of the dentate gyrus (DG), derived from the Allen Brain Atlas (ABA) _in situ_ hybridization mouse data set.
Allen Institute for Brain Science +3 more
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Computational and Structural Biotechnology Journal, 2022 Weighted gene co-expression network analysis (WGCNA) is used to detect clusters with highly correlated genes. Measurements of correlation most typically rely on linear relationships.
Tianjiao Zhang, Garry Wong
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Modeling and visualizing uncertainty in gene expression clusters using Dirichlet process mixtures [PDF]
, 2009 Although the use of clustering methods has rapidly become one of the standard computational approaches in the literature of microarray gene expression data, little attention has been paid to uncertainty in the results obtained. Dirichlet process mixture (
De la Cruz, Bernard J. +3 more
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Positive selection underlies Faster-Z evolution of gene expression in birds. [PDF]
, 2015 The elevated rate of evolution for genes on sex chromosomes compared to autosomes (Fast-X or Fast-Z evolution) can result either from positive selection in the heterogametic sex, or from non-adaptive consequences of reduced relative effective population ...
Dean, R +4 more
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Clustering gene expression data using a diffractionâinspired framework
BioMedical Engineering OnLine, 2012 Background The recent developments in microarray technology has allowed for the simultaneous measurement of gene expression levels. The large amount of captured data challenges conventional statistical tools for analysing and finding inherent ...
Dinger Steven C +3 more
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GENE BICLUSTERING ON LARGE DATASETS USING FUZZY C-MEANS CLUSTERING
ICTACT Journal on Soft Computing, 2022 The current study employs biclustering to alleviate some of the drawbacks associated with gene expression data grouping. Different biclustering algorithms are used in this study to detect unique gene activity in various contexts and reduce the ...
M Ramkumar +4 more
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, 2008 This report contains a summary of expression patterns for genes that are enriched in the facial motor nucleus (VII) of the medulla. All data is derived from the Allen Brain Atlas (ABA) in situ hybridization mouse project.
Allen Institute for Brain Science +3 more
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Validating clustering for gene expression data [PDF]
Bioinformatics, 2001 Abstract Motivation: Many clustering algorithms have been proposed for the analysis of gene expression data, but little guidance is available to help choose among them. We provide a systematic framework for assessing the results of clustering algorithms.
Yeung, Ka Yee +2 more
openaire +3 more sources
On the Role of Clustering and Visualization Techniques in Gene Microarray Data
Algorithms, 2019 As of today, bioinformatics is one of the most exciting fields of scientific research. There is a wide-ranging list of challenging problems to face, i.e., pairwise and multiple alignments, motif detection/discrimination/classification, phylogenetic tree ...
Angelo Ciaramella, Antonino Staiano
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Non-parametric Bayesian modelling of digital gene expression data [PDF]
, 2013 Next-generation sequencing technologies provide a revolutionary tool for generating gene expression data. Starting with a fixed RNA sample, they construct a library of millions of differentially abundant short sequence tags or "reads", which constitute a
Gough, Julian, Vavoulis, Dimitrios V.
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