On the bias of H-scores for comparing biclusters, and how to correct it-Reference-Cited by-同舟云学术

On the bias of H-scores for comparing biclusters, and how to correct it

Published:2020-01-27 Issue:9 Volume:36 Page:2955-2957
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Di Iorio Jacopo¹,Chiaromonte Francesca²³,Cremona Marzia A²⁴^ORCID

Affiliation:

1. Department of Mathematics, MOX - Modeling and Scientific Computing, Politecnico di Milano, Milan 20133, Italy

2. Department of Statistics, The Pennsylvania State University, University Park, PA 16802, USA

3. Institute of Economics and EMbeDS–Economics and Management in the Era of Data Science, Sant’Anna School of Advanced Studies, Pisa 56127, Italy

4. Department of Operations and Decision Systems, Université Laval, Quebec City, Québec G1V0A6, Canada

Funder

Eberly College of Science

Institute of CyberScience

Huck Institutes of the Life Sciences

Pennsylvania State University

National Science Foundation

Tobacco Settlement and CURE funds

PA Department of Health

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/advance-article-pdf/doi/10.1093/bioinformatics/btaa060/32784341/btaa060.pdf

Reference15 articles.

1. Random walk biclustering for microarray data;Angiulli;Inf. Sci,2008

2. Application of simulated annealing to the biclustering of gene expression data;Bryan;IEEE Trans. Inf. Technol. Biomed,2006

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