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  1. Content type: Research

    Machine learning methods have gained popularity and practicality in identifying linear and non-linear effects of variants associated with complex disease/traits. Detection of epistatic interactions still remai...

    Authors: Shefali S. Verma, Anastasia Lucas, Xinyuan Zhang, Yogasudha Veturi, Scott Dudek, Binglan Li, Ruowang Li, Ryan Urbanowicz, Jason H. Moore, Dokyoon Kim and Marylyn D. Ritchie

    Citation: BioData Mining 2018 11:5

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  2. Content type: Research

    Biclustering algorithms search for groups of genes that share the same behavior under a subset of samples in gene expression data. Nowadays, the biological knowledge available in public repositories can be use...

    Authors: Juan A. Nepomuceno, Alicia Troncoso, Isabel A. Nepomuceno-Chamorro and Jesús S. Aguilar-Ruiz

    Citation: BioData Mining 2018 11:4

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  3. Content type: Research

    Evolutionary computation (EC) has been widely applied to biological and biomedical data. The practice of EC involves the tuning of many parameters, such as population size, generation count, selection size, an...

    Authors: Moshe Sipper, Weixuan Fu, Karuna Ahuja and Jason H. Moore

    Citation: BioData Mining 2018 11:2

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  4. Content type: Research

    Survival analysis is a statistical technique widely used in many fields of science, in particular in the medical area, and which studies the time until an event of interest occurs. Outlier detection in this co...

    Authors: Eunice Carrasquinha, André Veríssimo, Marta B. Lopes and Susana Vinga

    Citation: BioData Mining 2018 11:1

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  5. Content type: Research

    Matrix factorization is a well established pattern discovery tool that has seen numerous applications in biomedical data analytics, such as gene expression co-clustering, patient stratification, and gene-disea...

    Authors: Andrej Čopar, Marinka žitnik and Blaž Zupan

    Citation: BioData Mining 2017 10:41

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  6. Content type: Research

    In the nervous system, the neurons communicate through synapses. The size, morphology, and connectivity of these synapses are significant in determining the functional properties of the neural network. Therefo...

    Authors: Qiwei Xie, Xi Chen, Hao Deng, Danqian Liu, Yingyu Sun, Xiaojuan Zhou, Yang Yang and Hua Han

    Citation: BioData Mining 2017 10:40

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  7. Content type: Software article

    Recent advances in nucleic acid sequencing technologies have led to a dramatic increase in the number of markers available to generate genetic linkage maps. This increased marker density can be used to improve...

    Authors: J. Grey Monroe, Zachariah A. Allen, Paul Tanger, Jack L. Mullen, John T. Lovell, Brook T. Moyers, Darrell Whitley and John K. McKay

    Citation: BioData Mining 2017 10:38

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  8. Content type: Methodology

    Clustering plays a crucial role in several application domains, such as bioinformatics. In bioinformatics, clustering has been extensively used as an approach for detecting interesting patterns in genetic data...

    Authors: Luluah Alhusain and Alaaeldin M. Hafez

    Citation: BioData Mining 2017 10:37

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  9. Content type: Research

    The selection, development, or comparison of machine learning methods in data mining can be a difficult task based on the target problem and goals of a particular study. Numerous publicly available real-world ...

    Authors: Randal S. Olson, William La Cava, Patryk Orzechowski, Ryan J. Urbanowicz and Jason H. Moore

    Citation: BioData Mining 2017 10:36

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  10. Content type: Research

    Obesity is a medical condition that is known for increased body mass index (BMI). It is also associated with chronic low level inflammation. Obesity disrupts the immune-metabolic homeostasis by changing the se...

    Authors: Indrani Ray, Anindya Bhattacharya and Rajat K. De

    Citation: BioData Mining 2017 10:33

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  11. Content type: Methodology

    Detecting the differences in gene expression data is important for understanding the underlying molecular mechanisms. Although the differentially expressed genes are a large component, differences in correlati...

    Authors: Elpidio-Emmanuel Gonzalez-Valbuena and Víctor Treviño

    Citation: BioData Mining 2017 10:32

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  12. Content type: Review

    The ability of external investigators to reproduce published scientific findings is critical for the evaluation and validation of biomedical research by the wider community. However, a substantial proportion o...

    Authors: Spiros Denaxas, Kenan Direk, Arturo Gonzalez-Izquierdo, Maria Pikoula, Aylin Cakiroglu, Jason Moore, Harry Hemingway and Liam Smeeth

    Citation: BioData Mining 2017 10:31

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  13. Content type: Research

    Measuring how gene expression changes in the course of an experiment assesses how an organism responds on a molecular level. Sequencing of RNA molecules, and their subsequent quantification, aims to assess glo...

    Authors: Bork A. Berghoff, Torgny Karlsson, Thomas Källman, E. Gerhart H. Wagner and Manfred G. Grabherr

    Citation: BioData Mining 2017 10:30

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  14. Content type: Methodology

    The modeling of genetic interactions within a cell is crucial for a basic understanding of physiology and for applied areas such as drug design. Interactions in gene regulatory networks (GRNs) include effects ...

    Authors: Mina Moradi Kordmahalleh, Mohammad Gorji Sefidmazgi, Scott H. Harrison and Abdollah Homaifar

    Citation: BioData Mining 2017 10:29

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  15. Content type: Short Report

    BarraCUDA is an open source C program which uses the BWA algorithm in parallel with nVidia CUDA to align short next generation DNA sequences against a reference genome. Recently its source code was optimised u...

    Authors: W. B. Langdon and Brian Yee Hong Lam

    Citation: BioData Mining 2017 10:28

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  16. Content type: Research

    Non-coding RNA (ncRNA) are small non-coding sequences involved in gene expression regulation of many biological processes and diseases. The recent discovery of a large set of different ncRNAs with biologically...

    Authors: Antonino Fiannaca, Massimo La Rosa, Laura La Paglia, Riccardo Rizzo and Alfonso Urso

    Citation: BioData Mining 2017 10:27

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  17. Content type: Research

    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...

    Authors: 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…

    Citation: BioData Mining 2017 10:25

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  18. Content type: Software article

    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...

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

    Citation: BioData Mining 2017 10:24

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