By Isra Al-Turaiki, Ghada Badr, Hassan Mathkour (auth.), Leonidas Bleris, Ion Măndoiu, Russell Schwartz, Jianxin Wang (eds.)
ISBN-10: 3642301908
ISBN-13: 9783642301902
ISBN-10: 3642301916
ISBN-13: 9783642301919
This ebook constitutes the refereed court cases of the overseas Symposium on Bioinformatics examine and purposes, ISBRA 2012, held in Dallas, Texas, united states, in could 2012. The 26 revised complete papers offered including 5 invited talks have been rigorously reviewed and chosen from sixty six submissions. The papers deal with matters on a variety of elements of bioinformatics and computational biology and their applications.
Read Online or Download Bioinformatics Research and Applications: 8th International Symposium, ISBRA 2012, Dallas, TX, USA, May 21-23, 2012. Proceedings PDF
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Additional resources for Bioinformatics Research and Applications: 8th International Symposium, ISBRA 2012, Dallas, TX, USA, May 21-23, 2012. Proceedings
Sample text
Moreover, in real applications such as cancer research, the performance of NCA in simultaneously analyzing multiple candidate transcription factors (TFs) is further limited by the small sample number of gene expression data. , prior network knowledge). This method introduces small perturbations on prior network knowledge and utilizes the variation of estimated TF activities to reflect the stability of TF activities. Such a scheme is less limited by the sample size and especially capable to identify condition-specific TFs and their target genes.
Science 280(5366), 1077–1082 (1998) Reconstruction of Transcription Regulatory Networks by Stability-Based Network Component Analysis Xi Chen1, Chen Wang1, Ayesha N. Shajahan2, Rebecca B. edu Abstract. Reliable inference of transcription regulatory networks is still a challenging task in the field of computational biology. Network component analysis (NCA) has become a powerful scheme to uncover the networks behind complex biological processes, especially when gene expression data is integrated with binding motif information.
PEMer: a computational framework with simulation-based error models: for inferring genome structaral variants from massive paired-end sequencing data. Genome Biology 38(10), R23 (2009) 9. : Identification of Deletion Polymorphisms from Haplotypes. , Huang, H. ) RECOMB 2007. LNCS (LNBI), vol. 4453, pp. 354–365. Springer, Heidelberg (2007) 10. : Clique partitioning of interval graphs with submodular costs on the cliques. RAIRO Operations Research 41, 275–287 (2007) 11. : Interval orders and interval graphs: Study of partially ordered sets.
Bioinformatics Research and Applications: 8th International Symposium, ISBRA 2012, Dallas, TX, USA, May 21-23, 2012. Proceedings by Isra Al-Turaiki, Ghada Badr, Hassan Mathkour (auth.), Leonidas Bleris, Ion Măndoiu, Russell Schwartz, Jianxin Wang (eds.)
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