IRUS Total

KODAMA: an R package for knowledge discovery and data mining

File Description SizeFormat 
Supplementary Data.docxSupporting information22.1 kBMicrosoft WordView/Open
btw705.pdfPublished version172.02 kBAdobe PDFView/Open
Title: KODAMA: an R package for knowledge discovery and data mining
Authors: Cacciatore, S
Tenori, L
Luchinat, C
Bennett, P
MacIntyre, DA
Item Type: Journal Article
Abstract: Summary: KODAMA, a novel learning algorithm for unsuper-vised feature extraction, is specifically designed for analysing noisy and high-dimensional data sets. Here we present an R package of the algorithm with additional functions that allow improved interpretation of high-dimensional data. The pack-age requires no additional software and runs on all major plat-forms. Availability and Implementation: KODAMA is freely available from the R archive CRAN (http://cran.r-project.org). The soft-ware is distributed under the GNU General Public License (ver-sion 3 or later).
Issue Date: 30-Nov-2017
Date of Acceptance: 4-Nov-2016
URI: http://hdl.handle.net/10044/1/42338
DOI: https://dx.doi.org/10.1093/bioinformatics/btw705
ISSN: 1367-4803
Publisher: Oxford University Press (OUP)
Start Page: 621
End Page: 623
Journal / Book Title: Bioinformatics
Volume: 33
Issue: 4
Copyright Statement: © The Author 2016. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
Sponsor/Funder: Medical Research Council (MRC)
Medical Research Council (MRC)
SPort Aiding medical Research for KidS (SPARKS)
Imperial College Healthcare NHS Trust- BRC Funding
Funder's Grant Number: MR/L009226/1
RDF01 79560
Keywords: Science & Technology
Life Sciences & Biomedicine
Physical Sciences
Biochemical Research Methods
Biotechnology & Applied Microbiology
Computer Science, Interdisciplinary Applications
Mathematical & Computational Biology
Statistics & Probability
Biochemistry & Molecular Biology
Computer Science
01 Mathematical Sciences
06 Biological Sciences
08 Information And Computing Sciences
Publication Status: Published
Appears in Collections:Department of Surgery and Cancer