相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Protein interaction networks: centrality, modularity, dynamics, and applications
Xiangmao Meng et al.
FRONTIERS OF COMPUTER SCIENCE (2021)
Protein Complexes Detection Based on Semi-Supervised Network Embedding Model
Jia Zhu et al.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2021)
idenPC-MIIP: identify protein complexes from weighted PPI networks using mutual important interacting partner relation
Zhourun Wu et al.
BRIEFINGS IN BIOINFORMATICS (2021)
An Ensemble Method to Reconstruct Gene Regulatory Networks Based on Multivariate Adaptive Regression Splines
Ruiqing Zheng et al.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2021)
Identification of Protein Complexes by Using a Spatial and Temporal Active Protein Interaction Network
Min Li et al.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2020)
A novel graph clustering method with a greedy heuristic search algorithm for mining protein complexes from dynamic and static PPI networks
Rongquan Wang et al.
INFORMATION SCIENCES (2020)
Accurately Detecting Protein Complexes by Graph Embedding and Combining Functions with Interactions
Heng Yao et al.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2020)
Network embedding in biomedical data science
Chang Su et al.
BRIEFINGS IN BIOINFORMATICS (2020)
A Survey on Network Embedding
Peng Cui et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2019)
Efficiently Detecting Protein Complexes from Protein Interaction Networks via Alternating Direction Method of Multipliers
Lun Hu et al.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2019)
SinNLRR: a robust subspace clustering method for cell type detection by non-negative and low-rank representation
Ruiqing Zheng et al.
BIOINFORMATICS (2019)
Protein complex detection based on flower pollination mechanism in multi-relation reconstructed dynamic protein networks
Xiujuan Lei et al.
BMC BIOINFORMATICS (2019)
Moth-flame optimization-based algorithm with synthetic dynamic PPI networks for discovering protein complexes
Xiujuan Lei et al.
KNOWLEDGE-BASED SYSTEMS (2019)
Protein complex detection algorithm based on multiple topological characteristics in PPI networks
Jie Wang et al.
INFORMATION SCIENCES (2019)
A method for identifying protein complexes with the features of joint co-localization and joint co-expression in static PPI networks
Jinxiong Zhang et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2019)
Performance evaluation measures for protein complex prediction
Asma Ivazeh et al.
GENOMICS (2019)
The BioGRID interaction database: 2019 update
Rose Oughtred et al.
NUCLEIC ACIDS RESEARCH (2019)
A Novel Core-Attachment-Based Method to Identify Dynamic Protein Complexes Based on Gene Expression Profiles and PPI Networks
Qianghua Xiao et al.
PROTEOMICS (2019)
Integrating network topology, gene expression data and GO annotation information for protein complex prediction
Wei Zhang et al.
JOURNAL OF BIOINFORMATICS AND COMPUTATIONAL BIOLOGY (2019)
Protein complexes identification based on go attributed network embedding
Bo Xu et al.
BMC BIOINFORMATICS (2018)
CPredictor3.0: detecting protein complexes from PPI networks with expression data and functional annotations
Ying Xu et al.
BMC SYSTEMS BIOLOGY (2017)
A multi-network clustering method for detecting protein complexes from multiple heterogeneous networks
Le Ou-Yang et al.
BMC BIOINFORMATICS (2017)
Identifying protein complexes based on brainstorming strategy
Xianjun Shen et al.
METHODS (2016)
Methods for protein complex prediction and their contributions towards understanding the organisation, function and dynamics of complexes
Sriganesh Srihari et al.
FEBS LETTERS (2015)
NMR approaches for structural analysis of multidomain proteins and complexes in solution
Christoph Goebl et al.
PROGRESS IN NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY (2014)
Mass spectrometry supported determination of protein complex structure
Thomas Walzthoeni et al.
CURRENT OPINION IN STRUCTURAL BIOLOGY (2013)
Utilizing Both Topological and Attribute Information for Protein Complex Identification in PPI Networks
Allen L. Hu et al.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2013)
Construction of Ontology Augmented Networks for Protein Complex Prediction
Yijia Zhang et al.
PLOS ONE (2013)
Towards the identification of protein complexes and functional modules by integrating PPI network and gene expression data
Min Li et al.
BMC BIOINFORMATICS (2012)
Detecting overlapping protein complexes in protein-protein interaction networks
Tamas Nepusz et al.
NATURE METHODS (2012)
SPICi: a fast clustering algorithm for large biological networks
Peng Jiang et al.
BIOINFORMATICS (2010)
Complex discovery from weighted PPI networks
Guimei Liu et al.
BIOINFORMATICS (2009)
Markov clustering versus affinity propagation for the partitioning of protein interaction graphs
James Vlasblom et al.
BMC BIOINFORMATICS (2009)
A core-attachment based method to detect protein complexes in PPI networks
Min Wu et al.
BMC BIOINFORMATICS (2009)
Predicting Protein Complexes from PPI Data: A Core-Attachment Approach
Henry C. M. Leung et al.
JOURNAL OF COMPUTATIONAL BIOLOGY (2009)
Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources
Da Wei Huang et al.
NATURE PROTOCOLS (2009)
Up-to-date catalogues of yeast protein complexes
Shuye Pu et al.
NUCLEIC ACIDS RESEARCH (2009)
Modifying the DPClus algorithm for identifying protein complexes based on new topological structures
Min Li et al.
BMC BIOINFORMATICS (2008)
Fast unfolding of communities in large networks
Vincent D. Blondel et al.
JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT (2008)
Methods for the detection and analysis of protein-protein interactions
Tord Berggard et al.
PROTEOMICS (2007)
The worst-case time complexity for generating all maximal cliques and computational experiments
Etsuji Tomita et al.
THEORETICAL COMPUTER SCIENCE (2006)
Development and implementation of an algorithm for detection of protein complexes in large interaction networks
Md Altaf-Ul-Amin et al.
BMC BIOINFORMATICS (2006)
Proteome survey reveals modularity of the yeast cell machinery
AC Gavin et al.
NATURE (2006)
MIPS: analysis and annotation of proteins from whole genomes in 2005
H. W. Mewes et al.
NUCLEIC ACIDS RESEARCH (2006)
Structure-based assembly of protein complexes in yeast
P Aloy et al.
SCIENCE (2004)
The Database of Interacting Proteins: 2004 update
L Salwinski et al.
NUCLEIC ACIDS RESEARCH (2004)
An automated method for finding molecular complexes in large protein interaction networks
GD Bader et al.
BMC BIOINFORMATICS (2003)
Saccharomyces Genome Database (SGD) provides secondary gene annotation using the Gene Ontology (GO)
SS Dwight et al.
NUCLEIC ACIDS RESEARCH (2002)