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HIS
2007
15 years 3 months ago
Pareto-based Multi-Objective Machine Learning
—Machine learning is inherently a multiobjective task. Traditionally, however, either only one of the objectives is adopted as the cost function or multiple objectives are aggreg...
Yaochu Jin
BMCBI
2008
84views more  BMCBI 2008»
15 years 2 months ago
poolHiTS: A Shifted Transversal Design based pooling strategy for high-throughput drug screening
Background: A key goal of drug discovery is to increase the throughput of small molecule screens without sacrificing screening accuracy. High-throughput screening (HTS) in drug di...
Raghunandan M. Kainkaryam, Peter J. Woolf
BMCBI
2008
104views more  BMCBI 2008»
15 years 2 months ago
Evolutionary Pareto-optimization of stably folding peptides
Background: As a rule, peptides are more flexible and unstructured than proteins with their substantial stabilizing hydrophobic cores. Nevertheless, a few stably folding peptides ...
Wolfram Gronwald, Tim Hohm, Daniel Hoffmann
BMCBI
2006
137views more  BMCBI 2006»
15 years 2 months ago
A maximum likelihood framework for protein design
Background: The aim of protein design is to predict amino-acid sequences compatible with a given target structure. Traditionally envisioned as a purely thermodynamic question, thi...
Claudia L. Kleinman, Nicolas Rodrigue, Céci...
BMCBI
2007
145views more  BMCBI 2007»
15 years 2 months ago
Improved benchmarks for computational motif discovery
Background: An important step in annotation of sequenced genomes is the identification of transcription factor binding sites. More than a hundred different computational methods h...
Geir Kjetil Sandve, Osman Abul, Vegard Walseng, Fi...