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» Optimizing Complex Loss Functions in Structured Prediction
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BMCBI
2008
135views more  BMCBI 2008»
13 years 7 months ago
Fregene: Simulation of realistic sequence-level data in populations and ascertained samples
Background: FREGENE simulates sequence-level data over large genomic regions in large populations. Because, unlike coalescent simulators, it works forwards through time, it allows...
Marc Chadeau-Hyam, Clive J. Hoggart, Paul F. O'Rei...
JMLR
2008
127views more  JMLR 2008»
13 years 7 months ago
Incremental Identification of Qualitative Models of Biological Systems using Inductive Logic Programming
The use of computational models is increasingly expected to play an important role in predicting the behaviour of biological systems. Models are being sought at different scales o...
Ashwin Srinivasan, Ross D. King
JMLR
2011
148views more  JMLR 2011»
13 years 2 months ago
Multitask Sparsity via Maximum Entropy Discrimination
A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...
Tony Jebara
BMCBI
2004
128views more  BMCBI 2004»
13 years 7 months ago
cuticleDB: a relational database of Arthropod cuticular proteins
Background: The insect exoskeleton or cuticle is a bi-partite composite of proteins and chitin that provides protective, skeletal and structural functions. Little information is a...
Christiana K. Magkrioti, Ioannis C. Spyropoulos, V...
NAR
2010
122views more  NAR 2010»
13 years 2 months ago
ELM: the status of the 2010 eukaryotic linear motif resource
Linear motifs are short segments of multidomain proteins that provide regulatory functions independently of protein tertiary structure. Much of intracellular signalling passes thr...
Cathryn M. Gould, Francesca Diella, Allegra Via, P...