Crossref Citations
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Crossref.
Kato, Chieko
Petronis, Arturas
Okazaki, Yuji
Tochigi, Mamoru
Umekage, Tadashi
and
Sasaki, Tsukasa
2002.
Molecular genetic studies of schizophrenia: challenges and insights.
Neuroscience Research,
Vol. 43,
Issue. 4,
p.
295.
Yoon, Yeomin
Song, Junghan
Hong, Seung Ho
and
Kim, Jin Q.
2003.
Analysis of Multiple Single Nucleotide Polymorphisms of Candidate Genes Related to Coronary Heart Disease Susceptibility by Using Support Vector Machines.
Clinical Chemistry and Laboratory Medicine,
Vol. 41,
Issue. 4,
Pullinger, Clive R
Kane, John P
and
Malloy, Mary J
2003.
Primary hypercholesterolemia: genetic causes and treatment of five monogenic disorders.
Expert Review of Cardiovascular Therapy,
Vol. 1,
Issue. 1,
p.
107.
Tahri-Daizadeh, Nadia
Tregouet, David-Alexandre
Nicaud, Viviane
Manuel, Nicolas
Cambien, François
and
Tiret, Laurence
2003.
Automated Detection of Informative Combined Effects in Genetic Association Studies of Complex Traits.
Genome Research,
Vol. 13,
Issue. 8,
p.
1952.
Ritchie, Marylyn D
White, Bill C
Parker, Joel S
Hahn, Lance W
and
Moore, Jason H
2003.
BMC Bioinformatics,
Vol. 4,
Issue. 1,
p.
28.
North, B. V.
Curtis, D.
Cassell, P. G.
Hitman, G. A.
and
Sham, P. C.
2003.
Assessing Optimal Neural Network Architecture for Identifying Disease‐associated Multi‐marker Genotypes using a Permutation Test, and Application to Calpain 10 Polymorphisms Associated with Diabetes.
Annals of Human Genetics,
Vol. 67,
Issue. 4,
p.
348.
Vermeulen-Jourdan, L.
Dhaenens, C.
and
Talbi, E.-G.
2004.
A parallel adaptive GA for linkage disequilibrium in genomics.
p.
167.
Serretti, Alessandro
and
Smeraldi, Enrico
2004.
Neural network analysis in pharmacogenetics of mood disorders.
BMC Medical Genetics,
Vol. 5,
Issue. 1,
Pociot, Flemming
Karlsen, Allan E.
Pedersen, Claus B.
Aalund, Mogens
and
Nerup, Jørn
2004.
Novel Analytical Methods Applied to Type 1 Diabetes Genome-Scan Data.
The American Journal of Human Genetics,
Vol. 74,
Issue. 4,
p.
647.
Di Luca, Monica
Grossi, Enzo
Borroni, Barbara
Zimmermann, Martina
Marcello, Elena
Colciaghi, Francesca
Gardoni, Fabrizio
Intraligi, Marco
Padovani, Alessandro
and
Buscema, Massimo
2005.
Artificial neural networks allow the use of simultaneous measurements of Alzheimer Disease markers for early detection of the disease.
Journal of Translational Medicine,
Vol. 3,
Issue. 1,
VERMEULEN-JOURDAN, L.
DHAENENS, C.
and
TALBI, E-G.
2005.
LINKAGE DISEQUILIBRIUM STUDY WITH A PARALLEL ADAPTIVE GA.
International Journal of Foundations of Computer Science,
Vol. 16,
Issue. 02,
p.
241.
Penco, S.
Grossi, E.
Cheng, S.
Intraligi, M.
Maurelli, G.
Patrosso, M. C.
Marocchi, A.
and
Buscema, M.
2005.
Assessment of the Role of Genetic Polymorphism in Venous Thrombosis Through Artificial Neural Networks.
Annals of Human Genetics,
Vol. 69,
Issue. 6,
p.
693.
Motsinger, Alison A.
Dudek, Scott M.
Hahn, Lance W.
and
Ritchie, Marylyn D.
2006.
Applications of Evolutionary Computing.
Vol. 3907,
Issue. ,
p.
103.
McKinney, Brett A
Reif, David M
Ritchie, Marylyn D
and
Moore, Jason H
2006.
Machine Learning for Detecting Gene-Gene Interactions.
Applied Bioinformatics,
Vol. 5,
Issue. 2,
p.
77.
Jae-Yoon Jung
and
Lee, P.H.
2006.
A Neural Network Model for Maximizing Prediction Accuracy in Haplotype Tagging SNP Selection.
p.
2303.
Yang, Hsin‐Chou
Lin, Chin‐Yu
and
Fann, Cathy S.J.
2006.
A sliding‐window weighted linkage disequilibrium test.
Genetic Epidemiology,
Vol. 30,
Issue. 6,
p.
531.
Cocozza, Sergio
2007.
Methodological aspects of the assessment of gene–nutrient interactions at the population level.
Nutrition, Metabolism and Cardiovascular Diseases,
Vol. 17,
Issue. 2,
p.
82.
Curtis, David
2007.
Comparison of artificial neural network analysis with other multimarker methods for detecting genetic association.
BMC Genetics,
Vol. 8,
Issue. 1,
Liu, Ying
Duan, Weimin
Paschall, Justin
and
Saccone, Nancy L
2007.
Artificial neural networks for linkage analysis of quantitative gene expression phenotypes and evaluation of gene × gene interactions.
BMC Proceedings,
Vol. 1,
Issue. S1,
Motsinger‐Reif, Alison A.
Dudek, Scott M.
Hahn, Lance W.
and
Ritchie, Marylyn D.
2008.
Comparison of approaches for machine‐learning optimization of neural networks for detecting gene‐gene interactions in genetic epidemiology.
Genetic Epidemiology,
Vol. 32,
Issue. 4,
p.
325.