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  1. Content type: Methodology

    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 (...

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

    Citation: BioData Mining 2017 10:2

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

  2. Content type: Research

    The Interaction Network Ontology (INO) logically represents biological interactions, pathways, and networks. INO has been demonstrated to be valuable in providing a set of structured ontological terms and asso...

    Authors: Arzucan Özgür, Junguk Hur and Yongqun He

    Citation: BioData Mining 2016 9:41

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  3. Content type: Short report

    Bladder cancer is common disease with a complex etiology that is likely due to many different genetic and environmental factors. The goal of this study was to embrace this complexity using a bioinformatics ana...

    Authors: Samantha Cheng, Angeline S. Andrew, Peter C. Andrews and Jason H. Moore

    Citation: BioData Mining 2016 9:40

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  4. Content type: Research

    Continuous improvements in next generation sequencing technologies led to ever-increasing collections of genomic sequences, which have not been easily characterized by biologists, and whose analysis requires h...

    Authors: Giulia Fiscon, Emanuel Weitschek, Eleonora Cella, Alessandra Lo Presti, Marta Giovanetti, Muhammed Babakir-Mina, Marco Ciotti, Massimo Ciccozzi, Alessandra Pierangeli, Paola Bertolazzi and Giovanni Felici

    Citation: BioData Mining 2016 9:38

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  5. Content type: Research

    An imbalanced dataset is defined as a training dataset that has imbalanced proportions of data in both interesting and uninteresting classes. Often in biomedical applications, samples from the stimulating clas...

    Authors: Jinyan Li, Simon Fong, Yunsick Sung, Kyungeun Cho, Raymond Wong and Kelvin K. L. Wong

    Citation: BioData Mining 2016 9:37

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  6. Content type: Research

    Biomarker discovery methods are essential to identify a minimal subset of features (e.g., serum markers in predictive medicine) that are relevant to develop prediction models with high accuracy. By now, there ...

    Authors: Ursula Neumann, Mona Riemenschneider, Jan-Peter Sowa, Theodor Baars, Julia Kälsch, Ali Canbay and Dominik Heider

    Citation: BioData Mining 2016 9:36

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  7. Content type: Research

    High-throughput sequencing technology and bioinformatics have identified chimeric RNAs (chRNAs), raising the possibility of chRNAs expressing particularly in diseases can be used as potential biomarkers in bot...

    Authors: Sacha Beaumeunier, Jérôme Audoux, Anthony Boureux, Florence Ruffle, Thérèse Commes, Nicolas Philippe and Ronnie Alves

    Citation: BioData Mining 2016 9:34

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  8. Content type: Research

    A low-mass-ion discriminant equation (LOME) was constructed to investigate whether systematic low-mass-ion (LMI) profiling could be applied to ovarian cancer (OVC) screening.

    Authors: Jun Hwa Lee, Byong Chul Yoo, Yun Hwan Kim, Sun-A Ahn, Seung-Gu Yeo, Jae Youl Cho, Kyung-Hee Kim and Seung Cheol Kim

    Citation: BioData Mining 2016 9:32

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  9. Content type: Research

    Redundant hierarchical relations refer to such patterns as two paths from one concept to another, one with length one (direct) and the other with length greater than one (indirect). Each redundant relation rep...

    Authors: Guangming Xing, Guo-Qiang Zhang and Licong Cui

    Citation: BioData Mining 2016 9:31

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  10. Content type: Editorial

    Modern cohort studies include self-reported measures on disease, behavior and lifestyle, sensor-based observations from mobile phones and wearables, and rich -omics data. Follow-up is often achieved through el...

    Authors: Spiros C. Denaxas, Folkert W. Asselbergs and Jason H. Moore

    Citation: BioData Mining 2016 9:29

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  11. Content type: Methodology

    Functional networks play an important role in the analysis of biological processes and systems. The inference of these networks from high-throughput (-omics) data is an area of intense research. So far, the si...

    Authors: Nicola Lazzarini, Paweł Widera, Stuart Williamson, Rakesh Heer, Natalio Krasnogor and Jaume Bacardit

    Citation: BioData Mining 2016 9:28

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  12. Content type: Software article

    BioBin is a bioinformatics software package developed to automate the process of binning rare variants into groups for statistical association analysis using a biological knowledge-driven framework. BioBin col...

    Authors: Carrie Colleen Buchanan Moore, Anna Okula Basile, John Robert Wallace, Alex Thomas Frase and Marylyn DeRiggi Ritchie

    Citation: BioData Mining 2016 9:27

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  13. Content type: SOFTWARE ARTICLE

    Mass spectrometry (MS) are a group of a high-throughput techniques used to increase knowledge about biomolecules. They produce a large amount of data which is presented as a list of hundreds or thousands of pr...

    Authors: Pau M. Muñoz-Torres, Filip Rokć, Robert Belužic, Ivana Grbeša and Oliver Vugrek

    Citation: BioData Mining 2016 9:26

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  14. Content type: SOFTWARE ARTICLE

    Heterogeneous biological data such as sequence matches, gene expression correlations, protein-protein interactions, and biochemical pathways can be merged and analyzed via graphs, or networks. Existing softwar...

    Authors: Jennifer Chang, Hyejin Cho and Hui-Hsien Chou

    Citation: BioData Mining 2016 9:25

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  15. Content type: Methodology

    Technological advances enable the cost-effective acquisition of Multi-Modal Data Sets (MMDS) composed of measurements for multiple, high-dimensional data types obtained from a common set of bio-samples. The joint...

    Authors: Gordon Okimoto, Ashkan Zeinalzadeh, Tom Wenska, Michael Loomis, James B. Nation, Tiphaine Fabre, Maarit Tiirikainen, Brenda Hernandez, Owen Chan, Linda Wong and Sandi Kwee

    Citation: BioData Mining 2016 9:24

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  16. Content type: Review

    Systems biology experiments generate large volumes of data of multiple modalities and this information presents a challenge for integration due to a mix of complexity together with rich semantics. Here, we des...

    Authors: Artem Lysenko, Irina A. Roznovăţ, Mansoor Saqi, Alexander Mazein, Christopher J Rawlings and Charles Auffray

    Citation: BioData Mining 2016 9:23

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  17. Content type: Research

    Genomic alterations affecting drug target proteins occur in several tumor types and are prime candidates for patient-specific tailored treatments. Increasingly, patients likely to benefit from targeted cancer ...

    Authors: Riku Louhimo, Marko Laakso, Denis Belitskin, Juha Klefström, Rainer Lehtonen and Sampsa Hautaniemi

    Citation: BioData Mining 2016 9:21

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  18. Content type: SOFTWARE ARTICLE

    Large-scale sequencing experiments are complex and require a wide spectrum of computational tools to extract and interpret relevant biological information. This is especially true in projects where individual ...

    Authors: Katherine Icay, Ping Chen, Alejandra Cervera, Ville Rantanen, Rainer Lehtonen and Sampsa Hautaniemi

    Citation: BioData Mining 2016 9:20

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