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。A novel essential protein identification method based on PPI networks and gene expression data
Jiancheng Zhong et al.
BMC BIOINFORMATICS (2021)
Characterizing cycle structure in complex networks
Tianlong Fan et al.
COMMUNICATIONS PHYSICS (2021)
A random walk-based method for detecting essential proteins by integrating the topological and biological features of PPI network
Nahla Mohamed Ahmed et al.
SOFT COMPUTING (2021)
Network-based methods for predicting essential genes or proteins: a survey
Xingyi Li et al.
BRIEFINGS IN BIOINFORMATICS (2020)
A mixed clustering coefficient centrality for identifying essential proteins
Pengli Lu et al.
INTERNATIONAL JOURNAL OF MODERN PHYSICS B (2020)
Construction of Refined Protein Interaction Network for Predicting Essential Proteins
Min Li et al.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2019)
Predicting essential proteins from protein-protein interactions using order statistics
Zhaopeng Zhang et al.
JOURNAL OF THEORETICAL BIOLOGY (2019)
A Novel Method for Identifying Essential Genes by Fusing Dynamic Protein-Protein Interactive Networks
Fengyu Zhang et al.
GENES (2019)
Identifying essential proteins based on sub-network partition and prioritization by integrating subcellular localization information
Min Li et al.
JOURNAL OF THEORETICAL BIOLOGY (2018)
United Complex Centrality for Identification of Essential Proteins from PPI Networks
Min Li et al.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2017)
Construction of dynamic probabilistic protein interaction networks for protein complex identification
Yijia Zhang et al.
BMC BIOINFORMATICS (2016)
Prediction of Essential Proteins Based on Local Interaction Density
Yi Qi et al.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2016)
Identifying essential proteins based on dynamic protein-protein interaction networks and RNA-Seq datasets
Xuequn Shang et al.
SCIENCE CHINA-INFORMATION SCIENCES (2016)
Mining Temporal Protein Complex Based on the Dynamic PIN Weighted with Connected Affinity and Gene Co-Expression
Xianjun Shen et al.
PLOS ONE (2016)
Identifying essential proteins from active PPI networks constructed with dynamic gene expression
Qianghua Xiao et al.
BMC GENOMICS (2015)
A Topology Potential-Based Method for Identifying Essential Proteins from PPI Networks
Min Li et al.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2015)
The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets
Takaya Saito et al.
PLOS ONE (2015)
Predicting Essential Proteins Based on Weighted Degree Centrality
Xiwei Tang et al.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2014)
Construction and application of dynamic protein interaction network based on time course gene expression data
Jianxin Wang et al.
PROTEOMICS (2013)
A new essential protein discovery method based on the integration of protein-protein interaction and gene expression data
Min Li et al.
BMC SYSTEMS BIOLOGY (2012)
Identification of Essential Proteins Based on Edge Clustering Coefficient
Jianxin Wang et al.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2012)
A comparison of the functional modules identified from time course and static PPI network data
Xiwei Tang et al.
BMC BIOINFORMATICS (2011)
A local average connectivity-based method for identifying essential proteins from the network level
Min Li et al.
COMPUTATIONAL BIOLOGY AND CHEMISTRY (2011)
Dynamics of the yeast transcriptome during wine fermentation reveals a novel fermentation stress response
Virginia D. Marks et al.
FEMS YEAST RESEARCH (2008)
Hubba: hub objects analyzer - a framework of interactome hubs identification for network biology
Chung-Yen Lin et al.
NUCLEIC ACIDS RESEARCH (2008)
Dynamic Changes in Protein Functional Linkage Networks Revealed by Integration with Gene Expression Data
Shubhada R. Hegde et al.
PLOS COMPUTATIONAL BIOLOGY (2008)
Logic of the yeast metabolic cycle: Temporal compartmentalization of cellular processes
BP Tu et al.
SCIENCE (2005)
Subgraph centrality in complex networks -: art. no. 056103
E Estrada et al.
PHYSICAL REVIEW E (2005)
Dynamic complex formation during the yeast cell cycle
U de Lichtenberg et al.
SCIENCE (2005)
DEG: a database of essential genes
R Zhang et al.
NUCLEIC ACIDS RESEARCH (2004)
Saccharomyces genome database
L Issel-Tarver et al.
GUIDE TO YEAST GENETICS AND MOLECULAR AND CELL BIOLOGY, PT B (2002)
DIP, the Database of Interacting Proteins: a research tool for studying cellular networks of protein interactions
I Xenarios et al.
NUCLEIC ACIDS RESEARCH (2002)
MIPS: a database for genomes and protein sequences
HW Mewes et al.
NUCLEIC ACIDS RESEARCH (2002)
Scientific collaboration networks. II. Shortest paths, weighted networks, and centrality
MEJ Newman
PHYSICAL REVIEW E (2001)
Lethality and centrality in protein networks
H Jeong et al.
NATURE (2001)
分享论文
