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BioData Mining, Volume 6
Volume 6, 2013
- Hongying Dai, Richard J. Charnigo, Mara Becker, J. Steven Leeder, Alison A. Motsinger-Reif
:
Risk score modeling of multiple gene to gene interactions using aggregated-multifactor dimensionality reduction. 1 - Wilco W. M. Fleuren, Erik J. M. Toonen, Stefan Verhoeven
, Raoul Frijters, Tim Hulsen
, Ton Rullmann, René C. van Schaik, Jacob de Vlieg, Wynand Alkema
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Identification of new biomarker candidates for glucocorticoid induced insulin resistance using literature mining. 2 - Anne Gatewood Hoen, Shea N. Gardner, Jason H. Moore
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Identification of SNPs associated with variola virus virulence. 3 - Ryan L. Collins
, Ting Hu, Christian Wejse
, Giorgio Sirugo, Scott M. Williams, Jason H. Moore
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Multifactor dimensionality reduction reveals a three-locus epistatic interaction associated with susceptibility to pulmonary tuberculosis. 4 - Sebastian Okser, Tapio Pahikkala
, Tero Aittokallio
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Genetic variants and their interactions in disease risk prediction - machine learning and network perspectives. 5 - Chengwei Su, Angeline S. Andrew, Margaret R. Karagas, Mark E. Borsuk
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Using Bayesian networks to discover relations between genes, environment, and disease. 6 - Lars Rosenbaum, Andreas Jahn, Alexander Dörr, Andreas Zell:
Optimization and visualization of the edge weights in optimal assignment methods for virtual screening. 7 - Nicholas Mitsakakis, Zak Razak, Michael D. Escobar
, J. Tim Westwood:
Prediction of Drosophila melanogaster gene function using Support Vector Machines. 8 - Jestinah M. Mahachie John, François Van Lishout, Elena S. Gusareva
, Kristel Van Steen
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A robustness study of parametric and non-parametric tests in model-based multifactor dimensionality reduction for epistasis detection. 9 - James D. Malley, Abhijit Dasgupta, Jason H. Moore
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The limits of p-values for biological data mining. 10 - Y-h. Taguchi
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MicroRNA-mediated regulation of target genes in several brain regions is correlated to both microRNA-targeting-specific promoter methylation and differential microRNA expression. 11 - James D. Malley, Jason H. Moore
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The disconnect between classical biostatistics and the biological data mining community. 12 - Georgios A. Pavlopoulos
, Anastasis Oulas
, Ernesto Iacucci, Alejandro Sifrim
, Yves Moreau
, Reinhard Schneider
, Jan Aerts
, Ioannis Iliopoulos:
Unraveling genomic variation from next generation sequencing data. 13 - Jason H. Moore, Marylyn D. Ritchie:
The central role of biological data mining in connecting diverse disciplines. 14 - Salvatore Camiolo
, Andrea Porceddu:
gff2Sequence, a new user friendly tool for the generation of genomic sequences. 15 - Munehiro Nakamura, Yusuke Kajiwara
, Atsushi Otsuka, Haruhiko Kimura:
LVQ-SMOTE - Learning Vector Quantization based Synthetic Minority Over-sampling Technique for biomedical data. 16 - Deanna Petrochilos, Ali Shojaie, John H. Gennari
, Neil F. Abernethy:
Using random walks to identify cancer-associated modules in expression data. 17 - Daniel Wolfe, Scott M. Dudek, Marylyn D. Ritchie, Sarah A. Pendergrass
:
Visualizing genomic information across chromosomes with PhenoGram. 18 - Xiuzhen Huang, Barry Bruce
, Alison Buchan
, Clare Bates Congdon, Carole L. Cramer, Steven F. Jennings, Hongmei Jiang, Zenglu Li, Gail McClure, Rick McMullen, Jason H. Moore
, Bindu Nanduri, Joan Peckham, Andy D. Perkins, Shawn W. Polson
, Bhanu Rekepalli, Saeed Salem, Jennifer Specker, Donald C. Wunsch, Donghai Xiong, Shuzhong Zhang, Zhongming Zhao:
No-boundary thinking in bioinformatics research. 19 - Eshita Mutt
, Sudha Rani, Ramanathan Sowdhamini:
Structural updates of alignment of protein domains and consequences on evolutionary models of domain superfamilies. 20 - Steffen Grunert, Dirk Labudde:
Graph representation of high-dimensional alpha-helical membrane protein data. 21 - Scott M. Williams, Jason H. Moore
:
Big Data analysis on autopilot? 22 - Dokyoon Kim, Ruowang Li, Scott M. Dudek, Marylyn D. Ritchie:
ATHENA: Identifying interactions between different levels of genomic data associated with cancer clinical outcomes using grammatical evolution neural network. 23 - Thanawadee Preeprem, Greg Gibson:
An association-adjusted consensus deleterious scheme to classify homozygous Mis-sense mutations for personal genome interpretation. 24 - Sarah A. Pendergrass
, Alex T. Frase, John R. Wallace, Daniel Wolfe, Neerja Katiyar, Carrie Moore, Marylyn D. Ritchie:
Genomic analyses with biofilter 2.0: knowledge driven filtering, annotation, and model development. 25
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