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  1. Content type: Research

    Real Time Cell Analysis (RTCA) technology is used to monitor cellular changes continuously over the entire exposure period. Combining with different testing concentrations, the profiles have potential in probi...

    Authors: Yile Zhang, Yau Shu Wong, Jian Deng, Cristina Anton, Stephan Gabos, Weiping Zhang, Dorothy Yu Huang and Can Jin

    Citation: BioData Mining 2016 9:19

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  2. Content type: Methodology

    The future of medicine is moving towards the phase of precision medicine, with the goal to prevent and treat diseases by taking inter-individual variability into account. A large part of the variability lies i...

    Authors: Ruowang Li, Scott M. Dudek, Dokyoon Kim, Molly A. Hall, Yuki Bradford, Peggy L. Peissig, Murray H. Brilliant, James G. Linneman, Catherine A. McCarty, Le Bao and Marylyn D. Ritchie

    Citation: BioData Mining 2016 9:18

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  3. Content type: Review

    High-throughput or next-generation sequencing (NGS) technologies have become an established and affordable experimental framework in biological and medical sciences for all basic and translational research. Pr...

    Authors: Franco Milicchio, Rebecca Rose, Jiang Bian, Jae Min and Mattia Prosperi

    Citation: BioData Mining 2016 9:16

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  4. Content type: Editorial

    Biomedical informatics has become a central focus for many academic medical centers and universities as biomedical research because increasingly reliant on the processing, analysis, and interpretation of large...

    Authors: Jason H. Moore and John H. Holmes

    Citation: BioData Mining 2016 9:15

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  5. Content type: Methodology

    Gene isoforms are commonly found in both prokaryotes and eukaryotes. Since each isoform may perform a specific function in response to changing environmental conditions, studying the dynamics of gene isoforms ...

    Authors: Ma Liang, Castle Raley, Xin Zheng, Geetha Kutty, Emile Gogineni, Brad T. Sherman, Qiang Sun, Xiongfong Chen, Thomas Skelly, Kristine Jones, Robert Stephens, Bin Zhou, William Lau, Calvin Johnson, Tomozumi Imamichi, Minkang Jiang…

    Citation: BioData Mining 2016 9:13

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  6. Content type: Methodology

    Genetic studies of human diseases have identified many variants associated with pathogenesis and severity. However, most studies have used only statistical association to assess putative relationships to disea...

    Authors: Minjun Huang, Britney E. Graham, Ge Zhang, Reed Harder, Nuri Kodaman, Jason H. Moore, Louis Muglia and Scott M. Williams

    Citation: BioData Mining 2016 9:12

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  7. Content type: Research

    study of mapping and interaction of co-localized proteins at a sub-cellular level is important for understanding complex biological phenomena. One of the recent techniques to map co-localized proteins is to us...

    Authors: Shan E Ahmed Raza, Daniel Langenkämper, Korsuk Sirinukunwattana, David Epstein, Tim W. Nattkemper and Nasir M. Rajpoot

    Citation: BioData Mining 2016 9:11

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  8. Content type: SHORT REPORT

    Antiretroviral therapy is essential for human immunodeficiency virus (HIV) infected patients to inhibit viral replication and therewith to slow progression of disease and prolong a patient’s life. However, the...

    Authors: Mona Riemenschneider, Robin Senge, Ursula Neumann, Eyke Hüllermeier and Dominik Heider

    Citation: BioData Mining 2016 9:10

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  9. Content type: Methodology

    Machine learning methods and in particular random forests (RFs) are a promising alternative to standard single SNP analyses in genome-wide association studies (GWAS). RFs provide variable importance measures (...

    Authors: Silke Szymczak, Emily Holzinger, Abhijit Dasgupta, James D. Malley, Anne M. Molloy, James L. Mills, Lawrence C. Brody, Dwight Stambolian and Joan E. Bailey-Wilson

    Citation: BioData Mining 2016 9:7

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  10. Content type: SOFTWARE ARTICLE

    To understand the molecular function of biopolymers, studying their structural characteristics is of central importance. Graphics programs are often utilized to conceive these properties, but with the increasi...

    Authors: Florian Heinke, Sebastian Bittrich, Florian Kaiser and Dirk Labudde

    Citation: BioData Mining 2016 9:6

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  11. Content type: Short report

    Alzheimer’s disease (AD) is a neurodegenerative disease that causes dementia. While molecular basis of AD is not fully understood, genetic factors are expected to participate in the development and progression...

    Authors: Ailin Song, Jingwen Yan, Sungeun Kim, Shannon Leigh Risacher, Aaron K. Wong, Andrew J. Saykin, Li Shen and Casey S. Greene

    Citation: BioData Mining 2016 9:3

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  12. Content type: SHORT REPORT

    Multi-gene lists and single sample predictor models have been currently used to reduce the multidimensional complexity of breast cancers, and to identify intrinsic subtypes. The perceived inability of some mod...

    Authors: Heloisa H. Milioli, Renato Vimieiro, Inna Tishchenko, Carlos Riveros, Regina Berretta and Pablo Moscato

    Citation: BioData Mining 2016 9:2

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  13. Content type: Research

    Recent findings have reemphasized the importance of epistasis, or gene-gene interactions, as a contributing factor to the unexplained heritability of obesity. Network-based methods such as statistical epistasis n...

    Authors: Rishika De, Ting Hu, Jason H. Moore and Diane Gilbert-Diamond

    Citation: BioData Mining 2015 8:45

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  14. Content type: Research

    The interaction effect among multiple genetic factors, i.e. epistasis, plays an important role in explaining susceptibility on common human diseases and phenotypic traits. The uncertainty over the number of ge...

    Authors: Ting Hu, Angeline S. Andrew, Margaret R. Karagas and Jason H. Moore

    Citation: BioData Mining 2015 8:43

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  15. Content type: Research

    The genetic background to bipolar disorder (BPD) has been attributed to different genetic and genomic risk factors. In the present study we hypothesized that inherited copy number variations (CNVs) contribute ...

    Authors: Magnus Lekman, Robert Karlsson, Lisette Graae, Ola Hössjer and Ingrid Kockum

    Citation: BioData Mining 2015 8:42

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  16. Content type: Research

    Despite heritability estimates of 40–70 % for obesity, less than 2 % of its variation is explained by Body Mass Index (BMI) associated loci that have been identified so far. Epistasis, or gene-gene interactions a...

    Authors: Rishika De, Shefali S. Verma, Fotios Drenos, Emily R. Holzinger, Michael V. Holmes, Molly A. Hall, David R. Crosslin, David S. Carrell, Hakon Hakonarson, Gail Jarvik, Eric Larson, Jennifer A. Pacheco, Laura J. Rasmussen-Torvik, Carrie B. Moore, Folkert W. Asselbergs, Jason H. Moore…

    Citation: BioData Mining 2015 8:41

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Page 4 of 11

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