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RECOMB
2005
Springer
16 years 7 months ago
Combinatorial Genetic Regulatory Network Analysis Tools for High Throughput Transcriptomic Data
: A series of genome-scale algorithms and high-performance implementations is described and shown to be useful in the genetic analysis of gene transcription. With them it is possib...
Elissa J. Chesler, Michael A. Langston
KDD
2009
ACM
178views Data Mining» more  KDD 2009»
16 years 7 months ago
Constrained optimization for validation-guided conditional random field learning
Conditional random fields(CRFs) are a class of undirected graphical models which have been widely used for classifying and labeling sequence data. The training of CRFs is typicall...
Minmin Chen, Yixin Chen, Michael R. Brent, Aaron E...
SDM
2011
SIAM
232views Data Mining» more  SDM 2011»
14 years 9 months ago
A Sequential Dual Method for Structural SVMs
In many real world prediction problems the output is a structured object like a sequence or a tree or a graph. Such problems range from natural language processing to computationa...
Shirish Krishnaj Shevade, Balamurugan P., S. Sunda...
BMCBI
2010
151views more  BMCBI 2010»
15 years 7 months ago
Data reduction for spectral clustering to analyze high throughput flow cytometry data
Background: Recent biological discoveries have shown that clustering large datasets is essential for better understanding biology in many areas. Spectral clustering in particular ...
Habil Zare, Parisa Shooshtari, Arvind Gupta, Ryan ...
KR
2010
Springer
15 years 11 months ago
Repair and Prediction (under Inconsistency) in Large Biological Networks with Answer Set Programming
We address the problem of repairing large-scale biological networks and corresponding yet often discrepant measurements in order to predict unobserved variations. To this end, we ...
Martin Gebser, Carito Guziolowski, Mihail Ivanchev...