Biolearn statistics

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Biolearn specifications


Unique identifier OMICS_26968
Name Biolearn
Software type Application/Script
Interface Graphical user interface
Restrictions to use Academic or non-commercial use
Operating system Unix/Linux, Windows
Programming languages Java
Computer skills Medium
Version 1.0
Stability Stable
Registration required Yes
Maintained Yes


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  • person_outline Dana Pe’er <>

Biolearn in publications

PMCID: 3909273
PMID: 24451547
DOI: 10.1098/rsob.130132

[…] distances between the mean values of the first three pc scores for each shape, and the superscript t is the transposition operator., we generate a dependency model of different shapes using biolearn software ( we scale the percentages of each shape across different tcs onto interval [0,1] for normalization. we then run […]

PMCID: 3231811
PMID: 22018164
DOI: 10.1186/1742-4682-8-39

[…] in our previous paper []., in this step, we first learn the biclusters produced from different algorithms using the greedy hill climbing search algorithm and bde scoring function implemented in biolearn [] at the department of biological sciences, columbia university., after we had obtained all the subnetworks generated from each biclustering algorithm, these subnetworks were integrated […]

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