A two-layer integration framework for protein complex detection

10.1186/s12859-016-0939-3

Saved in:
Bibliographic Details
Main Authors: Ou-Yang, L, Wu, M, Zhang, X.-F, Dai, D.-Q, Li, X.-L, Yan, H
Other Authors: DEPT OF COMPUTER SCIENCE
Format: Article
Published: 2020
Subjects:
Online Access:https://scholarbank.nus.edu.sg/handle/10635/181388
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: National University of Singapore
id sg-nus-scholar.10635-181388
record_format dspace
spelling sg-nus-scholar.10635-1813882023-10-31T09:14:57Z A two-layer integration framework for protein complex detection Ou-Yang, L Wu, M Zhang, X.-F Dai, D.-Q Li, X.-L Yan, H DEPT OF COMPUTER SCIENCE Cell signaling Clustering algorithms Cobalt compounds Complexation Computational methods Data integration Matrix algebra Molecular biology Proteins Purification Stochastic models Stochastic systems Co complexes Doubly stochastic matrix Integration frameworks Integration techniques Matrix decomposition Protein complexes Protein interaction Tandem affinity purification Complex networks consensus decomposition experimental model mass spectrometry model noise prediction screening stochastic model human metabolism procedures protein analysis proteomics protein Humans Protein Interaction Mapping Proteins Proteomics 10.1186/s12859-016-0939-3 BMC Bioinformatics 17 1 100 2020-10-27T10:46:27Z 2020-10-27T10:46:27Z 2016 Article Ou-Yang, L, Wu, M, Zhang, X.-F, Dai, D.-Q, Li, X.-L, Yan, H (2016). A two-layer integration framework for protein complex detection. BMC Bioinformatics 17 (1) : 100. ScholarBank@NUS Repository. https://doi.org/10.1186/s12859-016-0939-3 14712105 https://scholarbank.nus.edu.sg/handle/10635/181388 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ Unpaywall 20201031
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
topic Cell signaling
Clustering algorithms
Cobalt compounds
Complexation
Computational methods
Data integration
Matrix algebra
Molecular biology
Proteins
Purification
Stochastic models
Stochastic systems
Co complexes
Doubly stochastic matrix
Integration frameworks
Integration techniques
Matrix decomposition
Protein complexes
Protein interaction
Tandem affinity purification
Complex networks
consensus
decomposition
experimental model
mass spectrometry
model
noise
prediction
screening
stochastic model
human
metabolism
procedures
protein analysis
proteomics
protein
Humans
Protein Interaction Mapping
Proteins
Proteomics
spellingShingle Cell signaling
Clustering algorithms
Cobalt compounds
Complexation
Computational methods
Data integration
Matrix algebra
Molecular biology
Proteins
Purification
Stochastic models
Stochastic systems
Co complexes
Doubly stochastic matrix
Integration frameworks
Integration techniques
Matrix decomposition
Protein complexes
Protein interaction
Tandem affinity purification
Complex networks
consensus
decomposition
experimental model
mass spectrometry
model
noise
prediction
screening
stochastic model
human
metabolism
procedures
protein analysis
proteomics
protein
Humans
Protein Interaction Mapping
Proteins
Proteomics
Ou-Yang, L
Wu, M
Zhang, X.-F
Dai, D.-Q
Li, X.-L
Yan, H
A two-layer integration framework for protein complex detection
description 10.1186/s12859-016-0939-3
author2 DEPT OF COMPUTER SCIENCE
author_facet DEPT OF COMPUTER SCIENCE
Ou-Yang, L
Wu, M
Zhang, X.-F
Dai, D.-Q
Li, X.-L
Yan, H
format Article
author Ou-Yang, L
Wu, M
Zhang, X.-F
Dai, D.-Q
Li, X.-L
Yan, H
author_sort Ou-Yang, L
title A two-layer integration framework for protein complex detection
title_short A two-layer integration framework for protein complex detection
title_full A two-layer integration framework for protein complex detection
title_fullStr A two-layer integration framework for protein complex detection
title_full_unstemmed A two-layer integration framework for protein complex detection
title_sort two-layer integration framework for protein complex detection
publishDate 2020
url https://scholarbank.nus.edu.sg/handle/10635/181388
_version_ 1781792498537988096