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  1. Research

    Discovery and replication of SNP-SNP interactions for quantitative lipid traits in over 60,000 individuals

    The genetic etiology of human lipid quantitative traits is not fully elucidated, and interactions between variants may play a role. We performed a gene-centric interaction study for four different lipid traits...

    Emily R. Holzinger, Shefali S. Verma, Carrie B. Moore, Molly Hall, Rishika De, Diane Gilbert-Diamond, Matthew B. Lanktree, Nathan Pankratz, Antoinette Amuzu, Amber Burt, Caroline Dale, Scott Dudek, Clement E. Furlong, Tom R. Gaunt, Daniel Seung Kim, Helene Riess…

    BioData Mining 2017 10:25

    Published on: 24 July 2017

  2. Software article

    The Dark Proteome Database

    Recently we surveyed the dark-proteome, i.e., regions of proteins never observed by experimental structure determination and inaccessible to homology modelling. Surprisingly, we found that most of the dark pro...

    Nelson Perdigão, Agostinho C. Rosa and Seán I. O’Donoghue

    BioData Mining 2017 10:24

    Published on: 20 July 2017

  3. Methodology

    Grid-based stochastic search for hierarchical gene-gene interactions in population-based genetic studies of common human diseases

    Large-scale genetic studies of common human diseases have focused almost exclusively on the independent main effects of single-nucleotide polymorphisms (SNPs) on disease susceptibility. These studies have had ...

    Jason H. Moore, Peter C. Andrews, Randal S. Olson, Sarah E. Carlson, Curt R. Larock, Mario J. Bulhoes, James P. O’Connor, Ellen M. Greytak and Steven L. Armentrout

    BioData Mining 2017 10:19

    Published on: 30 May 2017

  4. Methodology

    Gene Set Enrichment Analyses: lessons learned from the heart failure phenotype

    Genetic studies for complex diseases have predominantly discovered main effects at individual loci, but have not focused on genomic and environmental contexts important for a phenotype. Gene Set Enrichment Ana...

    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 and Folkert W. Asselbergs

    BioData Mining 2017 10:18

    Published on: 26 May 2017

  5. Short report

    Vinasse fertirrigation alters soil resistome dynamics: an analysis based on metagenomic profiles

    Every year around 300 Gl of vinasse, a by-product of ethanol distillation in sugarcane mills, are flushed into more than 9 Mha of sugarcane cropland in Brazil. This practice links fermentation waste management...

    Lucas P. P. Braga, Rafael F. Alves, Marina T. F. Dellias, Acacio A. Navarrete, Thiago O. Basso and Siu M. Tsai

    BioData Mining 2017 10:17

    Published on: 23 May 2017

  6. Research

    The optimal crowd learning machine

    Any family of learning machines can be combined into a single learning machine using various methods with myriad degrees of usefulness.

    Bilguunzaya Battogtokh, Majid Mojirsheibani and James Malley

    BioData Mining 2017 10:16

    Published on: 19 May 2017

  7. Methodology

    Label-free data standardization for clinical metabolomics

    In metabolomics, thousands of substances can be detected in a single assay. This capacity motivates the development of metabolomics testing, which is currently a very promising option for improving laboratory ...

    Petr G. Lokhov, Dmitri L. Maslov, Oleg N. Kharibin, Elena E. Balashova and Alexander I. Archakov

    BioData Mining 2017 10:10

    Published on: 28 February 2017

  8. Methodology

    Semantics-based plausible reasoning to extend the knowledge coverage of medical knowledge bases for improved clinical decision support

    Capturing complete medical knowledge is challenging-often due to incomplete patient Electronic Health Records (EHR), but also because of valuable, tacit medical knowledge hidden away in physicians’ experiences...

    Hossein Mohammadhassanzadeh, William Van Woensel, Samina Raza Abidi and Syed Sibte Raza Abidi

    BioData Mining 2017 10:7

    Published on: 10 February 2017

  9. Research

    Elevated transcriptional levels of aldolase A (ALDOA) associates with cell cycle-related genes in patients with NSCLC and several solid tumors

    Aldolase A (ALDOA) is one of the glycolytic enzymes primarily found in the developing embryo and adult muscle. Recently, a new role of ALDOA in several cancers has been proposed. However, the underlying mechan...

    Fan Zhang, Jie-Diao Lin, Xiao-Yu Zuo, Yi-Xuan Zhuang, Chao-Qun Hong, Guo-Jun Zhang, Xiao-Jiang Cui and Yu-Kun Cui

    BioData Mining 2017 10:6

    Published on: 7 February 2017

  10. Methodology

    Gene set analysis controlling for length bias in RNA-seq experiments

    In gene set analysis, the researchers are interested in determining the gene sets that are significantly correlated with an outcome, e.g. disease status or treatment. With the rapid development of high through...

    Xing Ren, Qiang Hu, Song Liu, Jianmin Wang and Jeffrey C. Miecznikowski

    BioData Mining 2017 10:5

    Published on: 6 February 2017

  11. Methodology

    Meta-analytic support vector machine for integrating multiple omics data

    Of late, high-throughput microarray and sequencing data have been extensively used to monitor biomarkers and biological processes related to many diseases. Under this circumstance, the support vector machine (...

    SungHwan Kim, Jae-Hwan Jhong, JungJun Lee and Ja-Yong Koo

    BioData Mining 2017 10:2

    Published on: 26 January 2017

    The Erratum to this article has been published in BioData Mining 2017 10:8

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