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BMCBI
2008
143views more  BMCBI 2008»
13 years 7 months ago
catmap: Case-control And TDT Meta-Analysis Package
Background: Risk for complex disease is thought to be controlled by multiple genetic risk factors, each with small individual effects. Meta-analyses of several independent studies...
Kristin K. Nicodemus
BIODATAMINING
2008
147views more  BIODATAMINING 2008»
13 years 7 months ago
Neural networks for genetic epidemiology: past, present, and future
During the past two decades, the field of human genetics has experienced an information explosion. The completion of the human genome project and the development of high throughpu...
Alison A. Motsinger-Reif, Marylyn D. Ritchie
MCU
2007
95views Hardware» more  MCU 2007»
13 years 8 months ago
Slightly Beyond Turing's Computability for Studying Genetic Programming
Inspired by genetic programming (GP), we study iterative algorithms for non-computable tasks and compare them to naive models. This framework justifies many practical standard tri...
Olivier Teytaud
BMCBI
2010
130views more  BMCBI 2010»
13 years 7 months ago
A statistical approach to finding overlooked genetic associations
Background: Complexity and noise in expression quantitative trait loci (eQTL) studies make it difficult to distinguish potential regulatory relationships among the many interactio...
Andrew K. Rider, Geoffrey Siwo, Nitesh V. Chawla, ...
GECCO
2006
Springer
152views Optimization» more  GECCO 2006»
13 years 11 months ago
Using genetic programming to classify node positive patients in bladder cancer
Nodal staging has been identified as an independent indicator of prognosis. Quantitative RT-PCR data was taken for 70 genes associated with bladder cancer and genetic programming ...
Arpit A. Almal, Anirban P. Mitra, Ram H. Datar, Pe...