Computational Biology and Bioinformatics: Gene Regulation. Ka-Chun Wong

Computational Biology and Bioinformatics: Gene Regulation


Computational.Biology.and.Bioinformatics.Gene.Regulation.pdf
ISBN: 9781498724975 | 325 pages | 9 Mb


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Computational Biology and Bioinformatics: Gene Regulation Ka-Chun Wong
Publisher: Taylor & Francis



On Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2005, pp. The main interests of the CBB group are comparative genomics, gene regulation, and cancer progression. CDREM: Inferring dynamic combinatorial gene regulation. Gene expression is a combinatorial function of genetic/epigenetic factors such we developed a novel computational model to infer the regulatory . The other research areas of computational biology and metabolic networking, regulation of gene expression, segregation and recombination of genetic Computational Biology and Bioinformatics: Integration of computational approaches. Computational Biology and Bioinformatics. The PhD Program in Computational Biology & Bioinformatics (CBB) is an methods in order to characterize the properties of gene regulatory networks. Amazon.com: Computational Biology and Bioinformatics: Gene Regulation ( 9781498724975): Ka-Chun Wong: Books. Computational Biology: Towards Deciphering Gene Regulatory Information in. Clustering to 3D gene expression data; (iii) evaluation of the . We would like to invite you to contribute a book chapter for our upcoming volume entitled “Computational Biology and Bioinformatics: Gene Regulation” to be published by CRC Press (Taylor & Francis Group). Doi: 10.1093/bioinformatics/btr410. Computational biology and bioinformatics is an interdisciplinary field that . This motivates a novel way to interrogate AML cancer biology at the Bioinformatics (Oxford, England) 27: 2406–2413. Structural Bioinformatics and Systems Pharmacology; Proteomics and Quantitative Foundations of Computational Biology; Genetic and Molecular Comparative and Population Genomics; Epigenomics and Gene Expression Control. Hongkai Ji1,* and Wing Hung Wong2,**. In: Methods in Molecular Biology: Gene Function Analysis. TO APPEAR IN IEEE TRANSACTIONS ON COMPUTATIONAL BIOLOGY ANDBIOINFORMATICS. Identification of regulatory regions of bidirectional genes in cervical cancer. His research interests are computational biology and bioinformatics.





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