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ORCIDBioData Mining, Volume 4
Volume 4, 2011
- Marco Vassura, Pietro di Lena
, Luciano Margara, Maria Mirto, Giovanni Aloisio, Piero Fariselli, Rita Casadio:
Blurring contact maps of thousands of proteins: what we can learn by reconstructing 3D structure. 1 - Christian W. Martin, Anika Tauchen, Anke Becker, Tim W. Nattkemper:
A Normalized Tree Index for identification of correlated clinical parameters in microarray experiments. 2 - Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz:
Biclustering of Gene Expression Data by Correlation-Based Scatter Search. 3 - Thorsten Lehr, Jing Yuan, Dirk Zeumer, Supriya Jayadev, Marylyn D. Ritchie:
Rule based classifier for the analysis of gene-gene and gene-environment interactions in genetic association studies. 4 - Sami Kilpinen, Kalle A. Ojala, Olli-P. Kallioniemi:
Alignment of gene expression profiles from test samples against a reference database: New method for context-specific interpretation of microarray data. 5 - Davnah Urbach, Jason H. Moore:
The spatial dimension in biological data mining. 6 - Davnah Urbach, Jason H. Moore:
Data mining and the evolution of biological complexity. 7 - Britney L. Grayson, Thomas M. Aune:
A comparison of genomic copy number calls by Partek Genomics Suite, Genotyping Console and Birdsuite algorithms to quantitative PCR. 8 - Ruben Schilling, Ivan G. Costa, Alexander Schliep:
pGQL: A probabilistic graphical query language for gene expression time courses. 9 - Georgios A. Pavlopoulos, Maria Secrier, Charalampos N. Moschopoulos, Theodoros G. Soldatos, Sophia Kossida, Jan Aerts, Reinhard Schneider, Pantelis G. Bagos:
Using graph theory to analyze biological networks. 10 - Benjamin J. Grady, Eric Torstenson, Marylyn D. Ritchie:
The effects of linkage disequilibrium in large scale SNP datasets for MDR. 11 - Leonardo Vanneschi, Antonella Farinaccio, Giancarlo Mauri, Marco Antoniotti, Paolo Provero, Mario Giacobini:
A comparison of machine learning techniques for survival prediction in breast cancer. 12 - Shuying Sun, Yi-Wen Huang, Pearlly Yan, Tim Hui-Ming Huang, Shili Lin:
Preprocessing differential methylation hybridization microarray data. 13 - Davnah Urbach, Jason H. Moore:
Mining beyond the exome. 14 - Pablo C. Echeverría, Fedor Forafonov, Deo P. Pandey, Guillaume Mühlebach, Didier Picard:
Detection of changes in gene regulatory patterns, elicited by perturbations of the Hsp90 molecular chaperone complex, by visualizing multiple experiments with an animation. 15 - Dominik Heider, Daniel Hoffmann:
Interpol: An R package for preprocessing of protein sequences. 16 - Jun-ichi Satoh, Hiroko Tabunoki:
Comprehensive analysis of human microRNA target networks. 17 - Guang Zheng, Miao Jiang, Xiaojuan He, Jing Zhao, Hongtao Guo, Gao Chen, Qinglin Zha, Aiping Lu:
Discrete derivative: a data slicing algorithm for exploration of sharing biological networks between rheumatoid arthritis and coronary heart disease. 18 - Sinan Erten, Gürkan Bebek, Rob M. Ewing, Mehmet Koyutürk:
DADA: Degree-Aware Algorithms for Network-Based Disease Gene Prioritization. 19 - Francesco Cerutti, Luigi Bertolotti, Tony L. Goldberg, Mario Giacobini:
Taxon ordering in phylogenetic trees by means of evolutionary algorithms. 20 - Daniel S. Himmelstein, Casey S. Greene, Jason H. Moore:
Evolving hard problems: Generating human genetics datasets with a complex etiology. 21 - Guillaume G. Nicolas:
Detection of putative new mutacins by bioinformatic analysis using available web tools. 22 - Camelia Chira, Dragos Horvath, D. Dumitrescu:
Hill-Climbing search and diversification within an evolutionary approach to protein structure prediction. 23 - Stacey J. Winham, Alison A. Motsinger-Reif:
An R package implementation of multifactor dimensionality reduction. 24 - Davnah Urbach, Jason H. Moore:
Mining the diseasome. 25 - Jan Nikolaj Dybowski, Mona Riemenschneider, Sascha Hauke, Martin Pyka, Jens Verheyen, Daniel Hoffmann, Dominik Heider:
Improved Bevirimat resistance prediction by combination of structural and sequence-based classifiers. 26
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