Results 31 to 40 of about 9,994,698 (300)
Techniques for clustering gene expression data [PDF]
, 2008 Many clustering techniques have been proposed for the analysis of gene expression data obtained from microarray experiments. However, choice of suitable method(s) for a given experimental dataset is not straightforward. Common approaches do not translate
Kerr, Gráinne +7 more
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A hierarchical classification ant colony algorithm for predicting gene ontology terms [PDF]
, 2009 This paper proposes a novel Ant Colony Optimisation algorithm for the hierarchical problem of predicting protein functions using the Gene Ontology (GO).
Otero, Fernando E.B. +5 more
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RegnANN: Reverse Engineering Gene Networks using Artificial Neural Networks. [PDF]
PLoS ONE, 2011 RegnANN is a novel method for reverse engineering gene networks based on an ensemble of multilayer perceptrons. The algorithm builds a regressor for each gene in the network, estimating its neighborhood independently.
Marco Grimaldi +2 more
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Cell journal, 2023 In microarray datasets, hundreds and thousands of genes are measured in a small number of samples, and sometimes due to problems that occur during the experiment, the expression value of some genes is recorded as missing. It is a difficult task to determine the genes that cause disease or cancer from a large number of genes.
Rabiei, Niloofar +3 more
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An extended Kalman filtering approach to modeling nonlinear dynamic gene regulatory networks via short gene expression time series [PDF]
, 2009 Copyright [2009] IEEE. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Brunel University's products or services.
Liu, Y +4 more
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Computation of significance scores of unweighted Gene Set Enrichment Analyses
BMC Bioinformatics, 2007 Background Gene Set Enrichment Analysis (GSEA) is a computational method for the statistical evaluation of sorted lists of genes or proteins. Originally GSEA was developed for interpreting microarray gene expression data, but it can be applied to any ...
Lenhof Hans-Peter +2 more
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BMC Bioinformatics, 2023 Cancer prediction in the early stage is a topic of major interest in medicine since it allows accurate and efficient actions for successful medical treatments of cancer.
Rajul Mahto +7 more
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International Journal of Mycobacteriology, 2012 Conventional biochemical tests are the standard for the identification of Mycobacterium species, but molecular identifications are becoming more prevalent. The rpoB gene encodes the β-subunit of RNA polymerase and is utilized for the identification of Mycobacterium species. In the present study, a stepwise Mycobacterium species identification algorithm
Yuko Kazumi, Satoshi Mitarai
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BMC Medical Informatics and Decision Making, 2021 Background Gene expression data play an important role in bioinformatics applications. Although there may be a large number of features in such data, they mainly tend to contain only a few samples.
Saeid Azadifar, Ali Ahmadi
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BMC Bioinformatics, 2008 Background The previous studies of genome-wide expression patterns show that a certain percentage of genes are cell cycle regulated. The expression data has been analyzed in a number of different ways to identify cell cycle dependent genes. In this study,
Tcha Hong, Bae Cheol, Kim Chang
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