Results 281 to 290 of about 2,170,661 (326)
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International Journal of Data Mining and Bioinformatics, 2016
Class retrieval in gene expression microarray data analysis is highly challenging task. Because of high class imbalance, highly dimensional feature space and small number of samples most of the algorithms fail to capture real complex structures in data 'golden standard'.
Milan Vukicevic +3 more
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Class retrieval in gene expression microarray data analysis is highly challenging task. Because of high class imbalance, highly dimensional feature space and small number of samples most of the algorithms fail to capture real complex structures in data 'golden standard'.
Milan Vukicevic +3 more
openaire +3 more sources
International Journal of Data Mining and Bioinformatics, 2017
Osama Ahmad AlOmari +2 more
exaly +2 more sources
Osama Ahmad AlOmari +2 more
exaly +2 more sources
F-statistics algorithm for gene clustering evaluation
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology, 2010An enormous amount of microarray data has been generated and archived for a large variety of biological studies such as gene expression. In order to analyze gene expression data, many clustering algorithms have been proposed, but very few techniques have been developed to evaluate those clustering algorithms.
Mohamad Qayoom +2 more
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A new genetic algorithm with statistical gene evaluation
NAFIPS/IFIS/NASA '94. Proceedings of the First International Joint Conference of The North American Fuzzy Information Processing Society Biannual Conference. The Industrial Fuzzy Control and Intelligent Systems Conference, and the NASA Joint Technology Wo, 2002A new genetic algorithm is proposed to approximately evaluate the gene rather than the chromosome using statistical techniques. Simple statistical quantities are used to find out the influence of individual gene during the evolution and suggest better choices for a gene.
E.C. Yeh, null Yaw-Yu Shyu
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Evaluation of Gene-Finding Algorithms by a Content- Balancing Accuracy Index
Journal of Biomolecular Structure and Dynamics, 2002A content-balancing accuracy index, called q(9), to evaluate gene-finding algorithms has been proposed. Here the concept of content-balancing means that the evaluation by this index is independent of the coding and non-coding composition of the sequence being evaluated.
Chun-Ting, Zhang, Ren, Zhang
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Biological evaluation of biclustering algorithms using Gene Ontology and chIP-chip data
2008 IEEE International Conference on Acoustics, Speech and Signal Processing, 2008In this paper, we propose a new framework for assessing the biological significance of the outputs of any biclustering algorithm. The framework relies on the p-value computed by a Fisher's exact test on a 2x2 contingency table derived from gene ontology (GO) enrichment level and chromatin immunoprecipitation (ChIP) data enrichment level.
Alain B. Tchagang +2 more
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2013 IEEE Congress on Evolutionary Computation, 2013
Evolutionary algorithms (EAs) have been successfully used in many studies for evolving both the structure and parameters of biological networks including gene regulatory networks that demonstrate different functionalities. However, most of these studies have used only mutation as the genetic operator in the evolutionary framework, perhaps due to the ...
Dhammika S. Hettiarachchi +2 more
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Evolutionary algorithms (EAs) have been successfully used in many studies for evolving both the structure and parameters of biological networks including gene regulatory networks that demonstrate different functionalities. However, most of these studies have used only mutation as the genetic operator in the evolutionary framework, perhaps due to the ...
Dhammika S. Hettiarachchi +2 more
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A comprehensive evaluation of connectivity methods for L1000 data
Briefings Bioinform., 2019The methodologies for evaluating similarities between gene expression profiles of different perturbagens are the key to understanding mechanisms of actions (MoAs) of unknown compounds and finding new indications for existing drugs.
Kequan Lin +7 more
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Gene, 2018
Molecular alterations that occur in cancer have the potential to be considered as either cancer biomarkers or targeted therapies or even both. In the presented study, we aimed to elucidate the gene regulatory network of metastatic colorectal cancer using
Elaheh Eskandari +2 more
semanticscholar +1 more source
Molecular alterations that occur in cancer have the potential to be considered as either cancer biomarkers or targeted therapies or even both. In the presented study, we aimed to elucidate the gene regulatory network of metastatic colorectal cancer using
Elaheh Eskandari +2 more
semanticscholar +1 more source
Cancer Research, 2015
Abstract Introduction RNA sequencing (RNA-seq) has rapidly become one of the main methods to study transcriptome. It has become an important and popular issue to identify biomarkers based on their differential expression patterns in NGS data. Currently, more than 10 different algorithms can be used to detect differentially
Chin-Ting Wu +4 more
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Abstract Introduction RNA sequencing (RNA-seq) has rapidly become one of the main methods to study transcriptome. It has become an important and popular issue to identify biomarkers based on their differential expression patterns in NGS data. Currently, more than 10 different algorithms can be used to detect differentially
Chin-Ting Wu +4 more
openaire +1 more source