Skip to main content

Articles

Page 6 of 10

  2. 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 ...

    Authors: 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
    Citation: BioData Mining 2017 10:19
    Content type: Methodology Published on:

  3. 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...

    Authors: 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
    Citation: BioData Mining 2017 10:18
    Content type: Methodology Published on:

  4. 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...

    Authors: Lucas P. P. Braga, Rafael F. Alves, Marina T. F. Dellias, Acacio A. Navarrete, Thiago O. Basso and Siu M. Tsai
    Citation: BioData Mining 2017 10:17
    Content type: Short report Published on:

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

    Authors: Bilguunzaya Battogtokh, Majid Mojirsheibani and James Malley
    Citation: BioData Mining 2017 10:16
    Content type: Research Published on:

  6. Reverse engineering of gene regulatory networks (GRNs) from gene expression data is a classical challenge in systems biology. Thanks to high-throughput technologies, a massive amount of gene-expression data ha...

    Authors: Ngoc C. Pham, Benjamin Haibe-Kains, Pau Bellot, Gianluca Bontempi and Patrick E. Meyer
    Citation: BioData Mining 2017 10:15
    Content type: Methodology Published on:

  7. Large number of features are extracted from protein crystallization trial images to improve the accuracy of classifiers for predicting the presence of crystals or phases of the crystallization process. The exc...

    Authors: Madhav Sigdel, Imren Dinc, Madhu S. Sigdel, Semih Dinc, Marc L. Pusey and Ramazan S. Aygun
    Citation: BioData Mining 2017 10:14
    Content type: Research Published on:

  8. A computational evolution system (CES) is a knowledge discovery engine that can identify subtle, synergistic relationships in large datasets. Pareto optimization allows CESs to balance accuracy with model comp...

    Authors: Nathaniel M. Crabtree, Jason H. Moore, John F. Bowyer and Nysia I. George
    Citation: BioData Mining 2017 10:13
    Content type: Methodology Published on:

  11. 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 ...

    Authors: Petr G. Lokhov, Dmitri L. Maslov, Oleg N. Kharibin, Elena E. Balashova and Alexander I. Archakov
    Citation: BioData Mining 2017 10:10
    Content type: Methodology Published on:

  12. Genetic predispositions to diseases populate the noncoding regions of the human genome. Delineating their functional basis can inform on the mechanisms contributing to disease development. However, this remain...

    Authors: Musaddeque Ahmed, Richard C. Sallari, Haiyang Guo, Jason H. Moore, Housheng Hansen He and Mathieu Lupien
    Citation: BioData Mining 2017 10:9
    Content type: Methodology Published on:

  14. 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...

    Authors: Hossein Mohammadhassanzadeh, William Van Woensel, Samina Raza Abidi and Syed Sibte Raza Abidi
    Citation: BioData Mining 2017 10:7
    Content type: Methodology Published on:

  15. 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...

    Authors: Fan Zhang, Jie-Diao Lin, Xiao-Yu Zuo, Yi-Xuan Zhuang, Chao-Qun Hong, Guo-Jun Zhang, Xiao-Jiang Cui and Yu-Kun Cui
    Citation: BioData Mining 2017 10:6
    Content type: Research Published on:

  16. 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...

    Authors: Xing Ren, Qiang Hu, Song Liu, Jianmin Wang and Jeffrey C. Miecznikowski
    Citation: BioData Mining 2017 10:5
    Content type: Methodology Published on:

  17. With the development of high-throughput technology, the researchers can acquire large number of expression data with different types from several public databases. Because most of these data have small number ...

    Authors: Wei Du, Zhongbo Cao, Tianci Song, Ying Li and Yanchun Liang
    Citation: BioData Mining 2017 10:4
    Content type: Methodology Published on:

  19. 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
    Content type: Methodology Published on:

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

  21. 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
    Content type: Research Published on:

  22. 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
    Content type: Short report Published on:

  24. 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
    Content type: Research Published on:

  25. 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
    Content type: Research Published on:

  26. 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
    Content type: Research Published on:

  28. 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
    Content type: Research Published on:

  30. 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
    Content type: Research Published on:

  31. 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
    Content type: Research Published on:

  33. 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
    Content type: Editorial Published on:

  34. 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
    Content type: Methodology Published on:

  35. 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
    Content type: Software article Published on:

  36. 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
    Content type: SOFTWARE ARTICLE Published on:

  37. 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
    Content type: SOFTWARE ARTICLE Published on:

  38. 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
    Content type: Methodology Published on:

  39. 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
    Content type: Review Published on:

  41. 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
    Content type: Research Published on:

  42. 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
    Content type: SOFTWARE ARTICLE Published on:

  43. 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
    Content type: Research Published on:

  44. 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
    Content type: Methodology Published on:

  46. 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
    Content type: Review Published on:

  47. 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
    Content type: Editorial Published on:

  49. 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
    Content type: Methodology Published on:

  50. 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
    Content type: Methodology Published on:
Submit manuscript

Follow

Annual Journal Metrics

  • Citation Impact 2023
    Journal Impact Factor: 4.0
    5-year Journal Impact Factor: 3.7
    Source Normalized Impact per Paper (SNIP): 1.413
    SCImago Journal Rank (SJR): 0.958

    Speed 2023
    Submission to first editorial decision (median days): 15
    Submission to acceptance (median days): 171

    Usage 2023
    Downloads: 400,374
    Altmetric mentions: 146
     

BioData Mining

ISSN: 1756-0381