BioData Mining is an open access, open peer-reviewed 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.
Journal Home: Journal Homepage
Editor-in-Chief: Dr Jason Moore,Dr Marylyn Ritchie
scope: 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.
Print ISSN: 1756-0381
Electronic ISSN:
Abstracting and Indexing: Scopus Science Citation Index Expanded
Imapct Factor 2021: 4.079
Subject Area and Category: Biochemistry, Genetics and Molecular Biology,Biotechnology,Computer Science ,Computer Science Applications,Engineering ,Biomedical Engineering
Publication Frequency:
H Index: 32
Q1:
Q2: Molecular Biology
Q3:
Q4:
Cite Score: 4.1
SNIP: 0.947
Journal Rank(SJR): 0.701
Latest Articles: Latest Articles in BioData Mining
Guidelines for Authors: BioData Mining Author Guidelines
Paper Submissions: Paper Submissions in BioData Mining
Publisher: BioMed Central Ltd.
Country: United Kingdom
