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Publication details

Document type
Journal articles

Document subtype
Full paper

Title
BSig: evaluating the statistical significance of biclustering solutions

Participants in the publication
Rui Henriques (Author)
Sara C. Madeira (Author)
Dep. Informatica
LASIGE - LASIGE Computer Science and Engineering Research Centre

Date of Publication
2017-06-28

Where published
Data Mining and Knowledge Discovery

Publication Identifiers
ISSN - 1384-5810

Publisher
Springer Nature

Volume
32
Number
1

Starting page
124
Last page
161

Document Identifiers
URL - http://dx.doi.org/10.1007/s10618-017-0521-2
DOI - https://doi.org/10.1007/s10618-017-0521-2

Rankings
SCIMAGO Q1 (2017) - 0.864 - Computer Science Applications
SCIMAGO Q1 (2017) - 0.864 - Information Systems
Google Metrics (2019) - 40 - Data Mining & Analysis
Web Of Science Q2 (2017) - 2.481 - COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE - SCIE
SCOPUS Q1 (2017) - 0.864 - Computer Science Applications


Export

APA
Rui Henriques, Sara C. Madeira, (2017). BSig: evaluating the statistical significance of biclustering solutions. Data Mining and Knowledge Discovery, 32, 124-161. ISSN 1384-5810. eISSN . http://dx.doi.org/10.1007/s10618-017-0521-2

IEEE
Rui Henriques, Sara C. Madeira, "BSig: evaluating the statistical significance of biclustering solutions" in Data Mining and Knowledge Discovery, vol. 32, pp. 124-161, 2017. 10.1007/s10618-017-0521-2

BIBTEX
@article{38092, author = {Rui Henriques and Sara C. Madeira}, title = {BSig: evaluating the statistical significance of biclustering solutions}, journal = {Data Mining and Knowledge Discovery}, year = 2017, pages = {124-161}, volume = 32 }