Predicting Essential Genes and Proteins Based on Machine Learning and Network Topological Features: A Comprehensive Review
Published 2016 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Predicting Essential Genes and Proteins Based on Machine Learning and Network Topological Features: A Comprehensive Review
Authors
Keywords
-
Journal
Frontiers in Physiology
Volume 7, Issue -, Pages -
Publisher
Frontiers Media SA
Online
2016-03-08
DOI
10.3389/fphys.2016.00075
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Analyzing complex networks through correlations in centrality measurements
- (2015) José Ricardo Furlan Ronqui et al. JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT
- Predicting essential genes for identifying potential drug targets in Aspergillus fumigatus
- (2014) Yao Lu et al. COMPUTATIONAL BIOLOGY AND CHEMISTRY
- Training Set Selection for the Prediction of Essential Genes
- (2014) Jian Cheng et al. PLoS One
- Nodes occupying central positions in human tissue specific PPI networks are enriched with many splice variants
- (2014) Anupam Sinha et al. PROTEOMICS
- A new computational strategy for predicting essential genes
- (2013) Jian Cheng et al. BMC GENOMICS
- CEG: a database of essential gene clusters
- (2013) Yuan-Nong Ye et al. BMC GENOMICS
- Iteration method for predicting essential proteins based on orthology and protein-protein interaction networks
- (2012) Wei Peng et al. BMC Systems Biology
- A new essential protein discovery method based on the integration of protein-protein interaction and gene expression data
- (2012) Min Li et al. BMC Systems Biology
- High Confidence Prediction of Essential Genes in Burkholderia Cenocepacia
- (2012) Mario Juhas et al. PLoS One
- Identification of Essential Proteins Based on Edge Clustering Coefficient
- (2011) Jianxin Wang et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- OGEE: an online gene essentiality database
- (2011) Wei-Hua Chen et al. NUCLEIC ACIDS RESEARCH
- Identifying essential genes in bacterial metabolic networks with machine learning methods
- (2010) Kitiporn Plaimas et al. BMC Systems Biology
- Phenotypic Landscape of a Bacterial Cell
- (2010) Robert J. Nichols et al. CELL
- Investigating the predictability of essential genes across distantly related organisms using an integrative approach
- (2010) Jingyuan Deng et al. NUCLEIC ACIDS RESEARCH
- Towards the prediction of essential genes by integration of network topology, cellular localization and biological process information
- (2009) Marcio L Acencio et al. BMC BIOINFORMATICS
- Computational prediction of essential genes in an unculturable endosymbiotic bacterium, Wolbachia of Brugia malayi
- (2009) Alexander G Holman et al. BMC MICROBIOLOGY
- Simultaneous assay of every Salmonella Typhi gene using one million transposon mutants
- (2009) G. C. Langridge et al. GENOME RESEARCH
- A Survey on Transfer Learning
- (2009) Sinno Jialin Pan et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Predicting essential genes based on network and sequence analysis
- (2009) Yih-Chii Hwang et al. Molecular BioSystems
- What are decision trees?
- (2008) Carl Kingsford et al. NATURE BIOTECHNOLOGY
- DEG 5.0, a database of essential genes in both prokaryotes and eukaryotes
- (2008) R. Zhang et al. NUCLEIC ACIDS RESEARCH
- Why Do Hubs in the Yeast Protein Interaction Network Tend To Be Essential: Reexamining the Connection between the Network Topology and Essentiality
- (2008) Elena Zotenko et al. PLoS Computational Biology
- In silico network topology-based prediction of gene essentiality
- (2007) João Paulo Müller da Silva et al. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now