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RECOMB
2007
Springer
14 years 8 months ago
Minimizing and Learning Energy Functions for Side-Chain Prediction
Abstract. Side-chain prediction is an important subproblem of the general protein folding problem. Despite much progress in side-chain prediction, performance is far from satisfact...
Chen Yanover, Ora Schueler-Furman, Yair Weiss
BMCBI
2006
137views more  BMCBI 2006»
13 years 8 months ago
A classification-based framework for predicting and analyzing gene regulatory response
Background: We have recently introduced a predictive framework for studying gene transcriptional regulation in simpler organisms using a novel supervised learning algorithm called...
Anshul Kundaje, Manuel Middendorf, Mihir Shah, Chr...
RECOMB
2009
Springer
14 years 9 months ago
Spatial Clustering of Multivariate Genomic and Epigenomic Information
The combination of fully sequence genomes and new technologies for high density arrays and ultra-rapid sequencing enables the mapping of generegulatory and epigenetics marks on a g...
Rami Jaschek, Amos Tanay
GCB
2004
Springer
223views Biometrics» more  GCB 2004»
14 years 5 days ago
PoSSuMsearch: Fast and Sensitive Matching of Position Specific Scoring Matrices using Enhanced Suffix Arrays
: In biological sequence analysis, position specific scoring matrices (PSSMs) are widely used to represent sequence motifs. In this paper, we present a new nonheuristic algorithm, ...
Michael Beckstette, Dirk Strothmann, Robert Homann...
GECCO
2007
Springer
119views Optimization» more  GECCO 2007»
14 years 2 months ago
Optimising the flow of experiments to a robot scientist with multi-objective evolutionary algorithms
A Robot Scientist is a physically implemented system that applies artificial intelligence to autonomously discover new knowledge through cycles of scientific experimentation. Ad...
Emma Byrne