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ORCIDBioData Mining, Volume 12
Volume 12, Number 1, December 2019
- Sebastian Bittrich
, Marika Kaden, Christoph Leberecht, Florian Kaiser, Thomas Villmann, Dirk Labudde:
Application of an interpretable classification model on Early Folding Residues during protein folding. 1:1-1:16 - Fleur Jeanquartier, Claire Jean-Quartier, Andreas Holzinger:
Use case driven evaluation of open databases for pediatric cancer research. 2:1-2:20 - Randall J. Ellis, Zichen Wang, Nicholas Genes, Avi Ma'ayan:
Predicting opioid dependence from electronic health records with machine learning. 3:1-3:19 - Youngja Park, Taewoon Kong, James R. Roede, Dean P. Jones, Kichun Lee:
A biplot correlation range for group-wise metabolite selection in mass spectrometry. 4:1-4:24 - Sebastian Spänig, Dominik Heider:
Encodings and models for antimicrobial peptide classification for multi-resistant pathogens. 7:1-7:29 - Daniel M. Savel, Mehmet Koyutürk:
Characterizing human genomic coevolution in locus-gene regulatory interactions. 8:1-8:15 - Lillian Sun, Shuying Sun:
Within-sample co-methylation patterns in normal tissues. 9:1-9:22 - Jason E. Miller, Yogasudha Veturi, Marylyn D. Ritchie:
Innovative strategies for annotating the "relationSNP" between variants and molecular phenotypes. 10:1-10:22 - Marc Joiret, Jestinah M. Mahachie John, Elena S. Gusareva, Kristel Van Steen:
Confounding of linkage disequilibrium patterns in large scale DNA based gene-gene interaction studies. 11:1-11:23 - Jia-Hao Bi, Yi-Fan Tong, Zhe-Wei Qiu, Xing-Feng Yang, John D. Minna, Adi F. Gazdar, Kai Song:
ClickGene: an open cloud-based platform for big pan-cancer data genome-wide association study, visualization and exploration. 12:1-12:15 - Habib Asseiss Neto, Wanessa L. F. Tavares, Daniela C. S. Z. Ribeiro, Ronnie Cley de Oliveira Alves, Leorges M. Fonseca, Sérgio Vale Aguiar Campos:
On the utilization of deep and ensemble learning to detect milk adulteration. 13:1-13:13 - Elisabetta Manduchi, Patryk Orzechowski, Marylyn D. Ritchie, Jason H. Moore:
Exploration of a diversity of computational and statistical measures of association for genome-wide genetic studies. 14:1-14:16 - Mary Regina Boland, Snigdha Alur-Gupta, Lisa Levine, Peter Gabriel, Graciela Gonzalez-Hernandez:
Disease associations depend on visit type: results from a visit-wide association study. 15:1-15:10 - Aurélien Brionne, Amélie Juanchich, Christelle Hennequet-Antier:
ViSEAGO: a Bioconductor package for clustering biological functions using Gene Ontology and semantic similarity. 16:1-16:13 - Yunkui Zhang, Yaochen Li, Rongsheng Zhang, Yujie Zhang, Haitao Ma:
RNSCLC-PRSP software to predict the prognostic risk and survival in patients with resected T1-3N0-2 M0 non-small cell lung cancer. 17:1-17:14 - Bidong Ma, Zhiyou Huang, Qian Wang, Jizhou Zhang, Bin Zhou, Jiaohong Wu:
Integrative analysis of genetic and epigenetic profiling of lung squamous cell carcinoma (LSCC) patients to identify smoking level relevant biomarkers. 18:1-18:18 - Xiujuan Lei, Cheng Zhang:
Predicting metabolite-disease associations based on KATZ model. 19:1-19:14 - Lev I. Rubanov, Andrey G. Zaraisky, Gregory A. Shilovsky, Alexander V. Seliverstov, Oleg A. Zverkov, Vassily A. Lyubetsky:
Screening for mouse genes lost in mammals with long lifespans. 20:1-20:18 - Yanqiu Zhou, Chen Liu, Rongfang Zhou, Anzhi Lu, Biao Huang, Liling Liu, Ling Chen, Bei Luo, Jin Huang, Zhijian Tian:
SEQdata-BEACON: a comprehensive database of sequencing performance and statistical tools for performance evaluation and yield simulation in BGISEQ-500. 21:1-21:14 - Moshe Sipper, Weixuan Fu, Karuna Ahuja, Jason H. Moore:
Correction to: Investigating the parameter space of evolutionary algorithms. 22:1
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