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» Maximum entropy methods for biological sequence modeling
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JMLR
2010
153views more  JMLR 2010»
13 years 4 months ago
Generalized Expectation Criteria for Semi-Supervised Learning with Weakly Labeled Data
In this paper, we present an overview of generalized expectation criteria (GE), a simple, robust, scalable method for semi-supervised training using weakly-labeled data. GE fits m...
Gideon S. Mann, Andrew McCallum
ICASSP
2008
IEEE
14 years 3 months ago
Probabilistic structural alignment of RNA sequences
We propose an algorithm for estimating the common secondary structure, alignment, and posterior base pairing probabilities for two RNA sequences. A definition of structural align...
Arif Ozgun Harmanci, Gaurav Sharma, David H. Mathe...
JCB
2006
124views more  JCB 2006»
13 years 9 months ago
The Average Common Substring Approach to Phylogenomic Reconstruction
We describe a novel method for efficient reconstruction of phylogenetic trees, based on sequences of whole genomes or proteomes, whose lengths may greatly vary. The core of our me...
Igor Ulitsky, David Burstein, Tamir Tuller, Benny ...
BMCBI
2010
171views more  BMCBI 2010»
13 years 9 months ago
PyMix - The Python mixture package - a tool for clustering of heterogeneous biological data
Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...
Benjamin Georgi, Ivan Gesteira Costa, Alexander Sc...
SC
2005
ACM
14 years 2 months ago
ClawHMMER: A Streaming HMMer-Search Implementation
The proliferation of biological sequence data has motivated the need for an extremely fast probabilistic sequence search. One method for performing this search involves evaluating...
Daniel Reiter Horn, Mike Houston, Pat Hanrahan