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  1. Content type: Research

    Biorepositories linked to de-identified electronic medical records (EMRs) have the potential to complement traditional epidemiologic studies in genotype-phenotype studies of complex human diseases and traits. ...

    Authors: Logan Dumitrescu, Robert Goodloe, Yukiko Bradford, Eric Farber-Eger, Jonathan Boston and Dana C Crawford

    Citation: BioData Mining 2015 8:15

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  2. Content type: Research

    Accurate identification of linear B-cell epitopes plays an important role in peptide vaccine designs, immunodiagnosis, and antibody productions. Although several prediction methods have been reported, unsatisf...

    Authors: Weike Shen, Yuan Cao, Lei Cha, Xufei Zhang, Xiaomin Ying, Wei Zhang, Kun Ge, Wuju Li and Li Zhong

    Citation: BioData Mining 2015 8:14

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  3. Content type: Research

    To facilitate the implementation of the Family Smoking Prevention and Tobacco Control Act of 2009, the Federal Drug Agency (FDA) Center for Tobacco Products (CTP) has identified research priorities under the u...

    Authors: Dingcheng Li, Janet Okamoto, Hongfang Liu and Scott Leischow

    Citation: BioData Mining 2015 8:11

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  4. Content type: Methodology

    One of the most challenging tasks in genomic analysis nowadays is metagenomics. Biomedical applications of metagenomics give rise to datasets containing hundreds and thousands of samples from various body site...

    Authors: Dmitry Alexeev, Tanya Bibikova, Boris Kovarsky, Damir Melnikov, Alexander Tyakht and Vadim Govorun

    Citation: BioData Mining 2015 8:10

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  5. Content type: Research

    Pharmacogenomics (PGx) as an emerging field, is poised to change the way we practice medicine and deliver health care by customizing drug therapies on the basis of each patient’s genetic makeup. A large volume...

    Authors: Liwei Wang, Hongfang Liu, Christopher G Chute and Qian Zhu

    Citation: BioData Mining 2015 8:9

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  6. Content type: Editorial

    Whether your interests lie in scientific arenas, the corporate world, or in government, you have certainly heard the praises of big data: Big data will give you new insights, allow you to become more efficient...

    Authors: Xiuzhen Huang, Steven F Jennings, Barry Bruce, Alison Buchan, Liming Cai, Pengyin Chen, Carole L Cramer, Weihua Guan, Uwe KK Hilgert, Hongmei Jiang, Zenglu Li, Gail McClure, Donald F McMullen, Bindu Nanduri, Andy Perkins, Bhanu Rekepalli…

    Citation: BioData Mining 2015 8:7

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  7. Content type: Research

    Biological insights into group differences, such as disease status, have been achieved through differential co-expression analysis of microarray data. Additional understanding of group differences may be achie...

    Authors: Caleb A Lareau, Bill C White, Ann L Oberg and Brett A McKinney

    Citation: BioData Mining 2015 8:5

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  8. Content type: Research

    The prediction of solvent accessibility could provide valuable clues for analyzing protein structure and functions, such as protein 3-Dimensional structure and B-cell epitope prediction. To fully decipher the ...

    Authors: Jian Zhang, Wenhan Chen, Pingping Sun, Xiaowei Zhao and Zhiqiang Ma

    Citation: BioData Mining 2015 8:3

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  9. Content type: Research

    We develop a new concept that reflects how genes are connected based on microarray data using the coefficient of determination (the squared Pearson correlation coefficient). Our gene rank combines a priori kno...

    Authors: Eugene Demidenko

    Citation: BioData Mining 2015 8:2

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  10. Content type: Research

    The discovery of breast cancer subtypes and subsequent development of treatments aimed at them has allowed for a great reduction in the mortality of breast cancer. But despite this progress, tumors with simila...

    Authors: Nima Pouladi, Richard Cowper-Sallari and Jason H Moore

    Citation: BioData Mining 2014 7:27

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  11. Content type: Methodology

    Identifying genetic interactions in data obtained from genome-wide association studies (GWASs) can help in understanding the genetic basis of complex diseases. The large number of single nucleotide polymorphis...

    Authors: Charalampos S Floudas, Nara Um, M Ilyas Kamboh, Michael M Barmada and Shyam Visweswaran

    Citation: BioData Mining 2014 7:35

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  12. Content type: Methodology

    Using a collection of different terminal nodesize constructed random forests, each generating a synthetic feature, a synthetic random forest is defined as a kind of hyperforest, calculated using the new input ...

    Authors: Hemant Ishwaran and James D Malley

    Citation: BioData Mining 2014 7:28

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  13. Content type: Research

    Human genomic variations, including single nucleotide polymorphisms (SNPs) and copy number variations (CNVs), are associated with several phenotypic traits varying from mild features to hereditary diseases. Se...

    Authors: Kirsti Laurila, Reija Autio, Lingjia Kong, Elisa Närvä, Samer Hussein, Timo Otonkoski, Riitta Lahesmaa and Harri Lähdesmäki

    Citation: BioData Mining 2014 7:32

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  14. Content type: Methodology

    A network motif is a recurring subnetwork within a network, and it takes on certain functions in practical biological macromolecule applications. Previous algorithms have focused on the computational efficienc...

    Authors: Qiang Zhang and Yuan Xu

    Citation: BioData Mining 2014 8:29

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  15. Content type: Short report

    PGxClean is a new web application that performs quality control analyses for data produced by the Affymetrix DMET chip or other candidate gene technologies. Importantly, the software does not assume that varia...

    Authors: Daniel Rotroff, John Jack, Nathan Campbell, Scott Clark and Alison A Motsinger-Reif

    Citation: BioData Mining 2014 7:24

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Page 6 of 12

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