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» Maximum entropy methods for biological sequence modeling
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BMCBI
2006
112views more  BMCBI 2006»
13 years 9 months ago
Algorithms for incorporating prior topological information in HMMs: application to transmembrane proteins
Background: Hidden Markov Models (HMMs) have been extensively used in computational molecular biology, for modelling protein and nucleic acid sequences. In many applications, such...
Pantelis G. Bagos, Theodore D. Liakopoulos, Stavro...
BMCBI
2006
95views more  BMCBI 2006»
13 years 9 months ago
XcisClique: analysis of regulatory bicliques
Background: Modeling of cis-elements or regulatory motifs in promoter (upstream) regions of genes is a challenging computational problem. In this work, set of regulatory motifs si...
Amrita Pati, Cecilia Vasquez-Robinet, Lenwood S. H...
PAKDD
2005
ACM
160views Data Mining» more  PAKDD 2005»
14 years 2 months ago
Improving Mining Quality by Exploiting Data Dependency
The usefulness of the results produced by data mining methods can be critically impaired by several factors such as (1) low quality of data, including errors due to contamination, ...
Fang Chu, Yizhou Wang, Carlo Zaniolo, Douglas Stot...
CSB
2004
IEEE
177views Bioinformatics» more  CSB 2004»
14 years 25 days ago
High-Throughput 3D Structural Homology Detection via NMR Resonance Assignment
One goal of the structural genomics initiative is the identification of new protein folds. Sequence-based structural homology prediction methods are an important means for priorit...
Christopher James Langmead, Bruce Randall Donald
RECOMB
2009
Springer
14 years 9 months ago
Spatial Clustering of Multivariate Genomic and Epigenomic Information
The combination of fully sequence genomes and new technologies for high density arrays and ultra-rapid sequencing enables the mapping of generegulatory and epigenetics marks on a g...
Rami Jaschek, Amos Tanay