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» Maximum entropy methods for biological sequence modeling
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ICML
2006
IEEE
14 years 10 months ago
Convex optimization techniques for fitting sparse Gaussian graphical models
We consider the problem of fitting a large-scale covariance matrix to multivariate Gaussian data in such a way that the inverse is sparse, thus providing model selection. Beginnin...
Onureena Banerjee, Laurent El Ghaoui, Alexandre d'...
BMCBI
2008
93views more  BMCBI 2008»
13 years 9 months ago
Hybrid MM/SVM structural sensors for stochastic sequential data
In this paper we present preliminary results stemming from a novel application of Markov Models and Support Vector Machines to splice site classification of Intron-Exon and Exon-I...
Brian Roux, Stephen Winters-Hilt
SISAP
2010
IEEE
135views Data Mining» more  SISAP 2010»
13 years 7 months ago
Improving the similarity search of tandem mass spectra using metric access methods
In biological applications, the tandem mass spectrometry is a widely used method for determining protein and peptide sequences from an ”in vitro” sample. The sequences are not...
Jiri Novák, Tomás Skopal, David Hoks...
BMCBI
2002
133views more  BMCBI 2002»
13 years 9 months ago
Identification and characterization of subfamily-specific signatures in a large protein superfamily by a hidden Markov model app
Background: Most profile and motif databases strive to classify protein sequences into a broad spectrum of protein families. The next step of such database studies should include ...
Kevin Truong, Mitsuhiko Ikura
RECOMB
2008
Springer
14 years 9 months ago
Limitations of Pseudogenes in Identifying Gene Losses
The loss of previously established genes has been proposed as a major force in evolutionary change. While the sequencing of many new species offers the opportunity to identify case...
James C. Costello, Mira V. Han, Matthew W. Hahn