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BMCBI
2008
114views more  BMCBI 2008»
13 years 8 months ago
Combining classifiers for improved classification of proteins from sequence or structure
Background: Predicting a protein's structural or functional class from its amino acid sequence or structure is a fundamental problem in computational biology. Recently, there...
Iain Melvin, Jason Weston, Christina S. Leslie, Wi...
BMCBI
2010
110views more  BMCBI 2010»
13 years 7 months ago
Improvements to previous algorithms to predict gene structure and isoform concentrations using Affymetrix Exon arrays
Background: Exon arrays provide a way to measure the expression of different isoforms of genes in an organism. Most of the procedures to deal with these arrays are focused on gene...
Miguel A. Anton, Ander Aramburu, Angel Rubio
ACL
2006
13 years 10 months ago
Semi-Supervised Conditional Random Fields for Improved Sequence Segmentation and Labeling
We present a new semi-supervised training procedure for conditional random fields (CRFs) that can be used to train sequence segmentors and labelers from a combination of labeled a...
Feng Jiao, Shaojun Wang, Chi-Hoon Lee, Russell Gre...
BIRD
2007
Springer
117views Bioinformatics» more  BIRD 2007»
14 years 2 months ago
Enhancing Protein Disorder Detection by Refined Secondary Structure Prediction
More and more proteins have been observed to display functions through intrinsic disorder. Such structurally flexible regions are shown to play important roles in biological proces...
Chung-Tsai Su, Tong-Ming Hsu, Chien-Yu Chen, Yu-Ye...
ICML
2004
IEEE
14 years 9 months ago
A graphical model for protein secondary structure prediction
In this paper, we present a graphical model for protein secondary structure prediction. This model extends segmental semi-Markov models (SSMM) to exploit multiple sequence alignme...
Wei Chu, Zoubin Ghahramani, David L. Wild