Titlebook: Systems Biology and Regulatory Genomics; Joint Annual RECOMB Eleazar Eskin,Trey Ideker,Christopher Workman Conference proceedings 2006 Spr

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Build a Dictionary, Learn a Grammar, Decipher Stegoscripts, and Discover Genomic Regulatory Elementes in transcriptional regulation. We approach the problem of discovering TFBMs from a steganographic perspective. We view the regulatory regions of a genome as if they constituted a stegoscript with conserved words (i.e., TFBMs) being embedded in a covertext, and model the stegoscript with a statist

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Causal Inference of Regulator-Target Pairs by Gene Mapping of Expression Phenotypes,gene expression, then loci involved in regulatory control can theoretically be implicated. Recent efforts to construct gene regulatory networks from genotype and gene expression data have shown that biologically relevant networks can be achieved from an integrative approach. Inspired by epistatic mo

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GEM

Application of Expectation Maximization Clustering to Transcription Factor Binding Positions for cDxpressions in time-series cDNA microarray data. Prediction of TF pairs that mostly likely contribute to the regulated transcription of differentially expressed genes are done through the computation of their expression coherence (EC). The Expectation Maximization (EM) clustering is performed additio

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FLIP

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Probabilistic , Prediction of Protein-Peptide Interactions,ble for the assembly of critical macromolecular complexes and biochemical pathways [Pawson and Scott, 1997], and they have been implicated in carcinogenesis and various other human diseases [Sudol and Hunter, 2000]. PRMs recognise and bind to peptide ligands that contain a specific structural motif.

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