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ORCIDBioData Mining, Volume 10
Volume 10, Number 1, December 2017
- Wei Wu, Zhiheng Wang, Peisheng Cong, Tonghua Li:
Accurate prediction of protein relative solvent accessibility using a balanced model. 1:1-1:14 - Sunghwan Kim, Jae-Hwan Jhong
, Jung-Jun Lee, Ja-Yong Koo:
Meta-analytic support vector machine for integrating multiple omics data. 2:1-2:14 - Hyeonjeong Lee, Miyoung Shin:
Mining pathway associations for disease-related pathway activity analysis based on gene expression and methylation data. 3:1-3:13 - Wei Du, Zhongbo Cao, Tianci Song, Ying Li, Yanchun Liang:
A feature selection method based on multiple kernel learning with expression profiles of different types. 4:1-4:16 - Xing Ren, Qiang Hu, Song Liu, Jianmin Wang, Jeffrey C. Miecznikowski:
Gene set analysis controlling for length bias in RNA-seq experiments. 5:1-5:18 - Fan Zhang, Jie-Diao Lin, Xiao-Yu Zuo, Yi-Xuan Zhuang, Chao-Qun Hong, Guo-Jun Zhang, Xiao-Jiang Cui, Yu-Kun Cui:
Elevated transcriptional levels of aldolase A (ALDOA) associates with cell cycle-related genes in patients with NSCLC and several solid tumors. 6:1-6:20 - Hossein Mohammadhassanzadeh, William Van Woensel, Samina Raza Abidi, Syed Sibte Raza Abidi:
Semantics-based plausible reasoning to extend the knowledge coverage of medical knowledge bases for improved clinical decision support. 7:1-7:31 - Sunghwan Kim, Jae-Hwan Jhong, Jung-Jun Lee, Ja-Yong Koo:
Erratum to: Meta-analytic support vector machine for integrating multiple omics data. 8:1-8:2 - Musaddeque Ahmed, Richard C. Sallari, Haiyang Guo, Jason H. Moore, Housheng H. He, Mathieu Lupien:
Variant Set Enrichment: an R package to identify disease-associated functional genomic regions. 9:1-9:5 - Petr G. Lokhov, Dmitri L. Maslov, Oleg N. Kharibin, Elena E. Balashova, Alexander I. Archakov:
Label-free data standardization for clinical metabolomics. 10:1-10:12 - Elishai Ezra Tsur:
Rapid development of entity-based data models for bioinformatics with persistence object-oriented design and structured interfaces. 11:1-11:12 - Nestor Rodriguez, Sergio Rojas Galeano:
Discovering feature relevancy and dependency by kernel-guided probabilistic model-building evolution. 12:1-12:19 - Nathaniel Crabtree, Jason H. Moore, John F. Bowyer, Nysia I. George:
Multi-class computational evolution: development, benchmark evaluation and application to RNA-Seq biomarker discovery. 13:1-13:18 - Madhav Sigdel, Imren Dinç, Madhu S. Sigdel, Semih Dinç, Marc L. Pusey, Ramazan Savas Aygün:
Feature analysis for classification of trace fluorescent labeled protein crystallization images. 14:1-14:35 - Ngoc Cam Pham, Benjamin Haibe-Kains, Pau Bellot, Gianluca Bontempi, Patrick E. Meyer:
Study of Meta-analysis strategies for network inference using information-theoretic approaches. 15:1-15:14 - Bilguunzaya Battogtokh, Majid Mojirsheibani, James Malley:
The optimal crowd learning machine. 16:1-16:12 - Lucas P. P. Braga, Rafael F. Alves, Marina T. F. Dellias, Acacio A. Navarrete, Thiago O. Basso, Siu M. Tsai:
Vinasse fertirrigation alters soil resistome dynamics: an analysis based on metagenomic profiles. 17:1-17:7 - Vinicius Tragante, Johannes M. I. H. Gho, Janine F. Felix, Ramachandran S. Vasan, Nicholas L. Smith, Benjamin F. Voight, Colin Palmer, Pim van der Harst, Jason H. Moore, Folkert W. Asselbergs:
Gene Set Enrichment Analyses: lessons learned from the heart failure phenotype. 18:1-18:11 - Jason H. Moore, Peter C. Andrews, Randal S. Olson, Sarah E. Carlson, Curt Larock, Mario J. Bulhoes, James P. O'Connor, Ellen M. Greytak, Steven Armentrout:
Grid-based stochastic search for hierarchical gene-gene interactions in population-based genetic studies of common human diseases. 19:1-19:16 - Yulan Liang, Arpad Kelemen:
Computational dynamic approaches for temporal omics data with applications to systems medicine. 20:1-20:20 - Ursula Neumann, Nikita Genze, Dominik Heider:
EFS: an ensemble feature selection tool implemented as R-package and web-application. 21:1-21:9 - Artem Lysenko, Keith A. Boroevich, Tatsuhiko Tsunoda:
Arete - candidate gene prioritization using biological network topology with additional evidence types. 22:1-22:12 - Yingxia Sun, Junliang Shang, Jin-Xing Liu, Shengjun Li, Chun-Hou Zheng:
epiACO - a method for identifying epistasis based on ant Colony optimization algorithm. 23:1-23:17 - Nelson Perdigao, Agostinho C. Rosa, Seán I. O'Donoghue:
The Dark Proteome Database. 24:1-24:11 - Emily Rose Holzinger, Shefali S. Verma, Carrie Colleen Buchanan Moore, Molly A. Hall, Rishika De, Diane Gilbert-Diamond, Matthew B. Lanktree, Nathan Pankratz, Antoinette Amuzu, Amber Burt, Caroline Dale, Scott M. Dudek, Clement E. Furlong, Tom R. Gaunt, Daniel Seung Kim, Helene Riess, Suthesh Sivapalaratnam, Vinicius Tragante, Erik P. A. van Iperen, Ariel Brautbar, David S. Carrell, David R. Crosslin, Gail P. Jarvik, Helena Kuivaniemi, Iftikhar J. Kullo, Eric B. Larson, Laura J. Rasmussen-Torvik, Gerard Tromp, Jens Baumert, Karen J. Cruickshanks, Martin Farrall, Aroon D. Hingorani, G. K. Hovingh, Marcus E. Kleber, Barbara E. Klein, Ronald Klein, Wolfgang Koenig, Leslie A. Lange, Winfried März, Kari E. North, N. Charlotte Onland-Moret, Alex P. Reiner, Philippa J. Talmud, Yvonne T. van der Schouw, James G. Wilson, Mika Kivimäki, Meena Kumari, Jason H. Moore, Fotios Drenos, Folkert W. Asselbergs, Brendan J. Keating, Marylyn D. Ritchie:
Discovery and replication of SNP-SNP interactions for quantitative lipid traits in over 60,000 individuals. 25:1-25:20 - Moshe Sipper, Randal S. Olson, Jason H. Moore:
Evolutionary computation: the next major transition of artificial intelligence? 26:1-26:3 - Antonino Fiannaca, Massimo La Rosa, Laura La Paglia, Riccardo Rizzo, Alfonso Urso:
nRC: non-coding RNA Classifier based on structural features. 27:1-27:18 - William B. Langdon, Brian Yee Hong Lam:
Genetically improved BarraCUDA. 28:1-28:11 - Mina Moradi Kordmahalleh, Mohammad Gorji Sefidmazgi, Scott H. Harrison, Abdollah Homaifar:
Identifying time-delayed gene regulatory networks via an evolvable hierarchical recurrent neural network. 29:1-29:25 - Bork A. Berghoff, Torgny Karlsson, Thomas Källman, E. Gerhart H. Wagner, Manfred G. Grabherr:
RNA-sequence data normalization through in silico prediction of reference genes: the bacterial response to DNA damage as case study. 30:1-30:20 - Spiros C. Denaxas, Kenan Direk, Arturo Gonzalez-Izquierdo, Maria Pikoula, Sera Aylin Cakiroglu, Jason H. Moore, Harry Hemingway, Liam Smeeth:
Methods for enhancing the reproducibility of biomedical research findings using electronic health records. 31:1-31:19 - Elpidio-Emmanuel Gonzalez-Valbuena, Victor Trevino:
Metrics to estimate differential co-expression networks. 32:1-32:15 - Indrani Ray, Anindya Bhattacharya, Rajat K. De:
OCDD: an obesity and co-morbid disease database. 33:1-33:11 - Moshe Sipper, Jason H. Moore:
Artificial intelligence: more human with human. 34:1-34:2 - Davide Chicco:
Ten quick tips for machine learning in computational biology. 35:1-35:17 - Randal S. Olson, William G. La Cava, Patryk Orzechowski, Ryan J. Urbanowicz, Jason H. Moore:
PMLB: a large benchmark suite for machine learning evaluation and comparison. 36:1-36:13 - Luluah Al-Husain, Alaaeldin M. Hafez:
Cluster ensemble based on Random Forests for genetic data. 37:1-37:25 - J. Grey Monroe, Zachariah A. Allen, Paul Tanger, Jack L. Mullen, John T. Lovell, Brook T. Moyers, L. Darrell Whitley, John K. McKay:
TSPmap, a tool making use of traveling salesperson problem solvers in the efficient and accurate construction of high-density genetic linkage maps. 38:1-38:15 - Zhenqiu Liu, Fengzhu Sun, Dermot P. B. McGovern:
Sparse generalized linear model with L 0 approximation for feature selection and prediction with big omics data. 39:1-39:12 - Qiwei Xie, Xi Chen, Hao Deng, Danqian Liu, Yingyu Sun, Xiaojuan Zhou, Yang Yang, Hua Han:
An automated pipeline for bouton, spine, and synapse detection of in vivo two-photon images. 40:1-40:23 - Andrej Copar, Marinka Zitnik, Blaz Zupan:
Scalable non-negative matrix tri-factorization. 41:1-41:16
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