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Gradient-based methods for solving non-negative matrix tri-factorization problem : Code and data
ID Povh, Janez (Author), ID Hribar, Rok (Author)

URLURL - Source URL, Visit https://repo.ijs.si/hribarr/symmetric-nmtf This link opens in a new window
.zipZIP - Research data, Download (369,76 KB)
MD5: A93DAF3BE2DB1235BDE539C4C313A265

Abstract
Code and data used in paper "Gradient-based methods for solving non-negative matrix tri-factorization problem". GitLab: symmetric NMTF, Project ID: 1360, 3 branches, total 5.4 GB files. History: 06 Jul, 2020 3 commits. ZIP in this repository contains code and small amount of data used in code examples. Full data is available from GitLab.

Language:English
Keywords:non-negative matrix factorization, p-matching problem, data co-clustering, patients sub-typing, drug repurposing, high-performance computing
Organization:FS - Faculty of Mechanical Engineering
Year:2020
PID:20.500.12556/RUL-117359 This link opens in a new window
Copyright:
No license. All rights reserved.
Note:
With regard to the type and amount of data one requires, three options are available: 1. code and small amount of data used in code examples (~1M): git clone --single-branch https://repo.ijs.si/hribarr/symmetric-nmtf.git; 2. code and real-world data used in the paper (~210M): git clone --single-branch https://repo.ijs.si/hribarr/symmetric-nmtf.git -b real-data; 3. code, real-world data and synthetic data used in the paper (~14G): git clone --single-branch https://repo.ijs.si/hribarr/symmetric-nmtf.git -b full-data.
Publication date in RUL:08.07.2020
Views:1048
Downloads:254
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Secondary language

Language:Slovenian
Keywords:nenegativna matrična faktorizacija, problem p-prirejanja, so-gručenje podatkov, serotipizacija pacientov, nova uporabnost zdravil, super-računalništvo

Projects

Funder:ARRS - Slovenian Research Agency
Project number:J1-8155
Name:ZLIVANJE BIOMEDICINSKIH PODATKOV Z UPORABO NENEGATIVNE MATRIČNE TRI-FAKTORIZACIJE

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