Information Systems Journal Statistics

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BioData Mining (BDM) [Entry Reviewed: 2016-02-15]
|Articles available |Not DEST Approved |On Scopus database |On ISI database |Refereed according to Ulrichs |Not ranked by ACPHIS |[e-journal] [instructions]
BioData Mining, is an open access, peer reviewed, online journal encompassing research on all aspects of data mining applied to high-dimensional biological and biomedical data, focusing on computational aspects of knowledge discovery from large-scale genetic, transcriptomic, genomic, proteomic, and metabolomic data. Topical areas include, but are not limited to:

  • Development, evaluation, and application of novel data mining and machine learning algorithms.
  • Adaptation, evaluation, and application of traditional data mining and machine learning algorithms.
  • Open-source software for the application of data mining and machine learning algorithms.
  • Design, development and integration of databases, software and web services for the storage, management, retrieval, and analysis of data from large scale studies.
  • Pre-processing, post-processing, modeling, and interpretation of data mining and machine learning results for biological interpretation and knowledge discovery.

Exits to BioData Mining

Exits by Month Cumulative Exits

 

Country of Origin for Exits to
BioData Mining

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BioData Mining

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This publication is edited by John Lamp who can be reached at John.Lamp@deakin.edu.au. This page was last updated on 9 August 2013. Individual entries were updated on the date shown against the entry. Although I will attempt to keep this information accurate, I can not guarantee the accuracy of the information provided. Copyright and Privacy information

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