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ACL
2006
15 years 7 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...
ISMB
1993
15 years 7 months ago
Transmembrane Segment Prediction from Protein Sequence Data
Weconsider tile automatedidentification of transmembrane domains in membrane protein sequences. 324 proteins (containing 1585 segrrmnts) werc examined, representing every protein ...
Sholom M. Weiss, Dawn M. Cohen, Nitin Indurkhya
ISMB
1993
15 years 7 months ago
Detection of Correlations in tRNA Sequences with Structural Implications
Using a flexible representation of biological sequences, we have performed a comparative analysis of 1208 known tRNA sequences. We believe we our technique is a more sensitive met...
Tod M. Klingler, Douglas L. Brutlag
ALMOB
2008
82views more  ALMOB 2008»
15 years 6 months ago
Protein sequence and structure alignments within one framework
Background: Protein structure alignments are usually based on very different techniques to sequence alignments. We propose a method which treats sequence, structure and even combi...
Gundolf Schenk, Thomas Margraf, Andrew E. Torda
BMCBI
2006
166views more  BMCBI 2006»
15 years 6 months ago
SEQOPTICS: a protein sequence clustering system
Background: Protein sequence clustering has been widely used as a part of the analysis of protein structure and function. In most cases single linkage or graph-based clustering al...
Yonghui Chen, Kevin D. Reilly, Alan P. Sprague, Zh...