Disease-Gene Association Using a Genetic Algorithm

No abstract is available for this paper.

• Publication year

  2014

• Venue

  International Conferences on Biological Information and Biomedical Engineering

• Publication date

  2014-11-10

• Fields of study

  Biology, Medicine, Computer Science

• Identifiers
  DOI 10.1109/BIBE.2014.38
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• An Introduction To Genetic Analysis

  2016cited by this paper
• Database resources of the National Center for Biotechnology Information

  2014cited by this paper
• Endogenous neurotoxic dopamine derivative covalently binds to Parkinson's disease‐associated ubiquitin C‐terminal hydrolase L1 and alters its structure and function

  2014cited by this paper
• c-Abl phosphorylates α-synuclein and regulates its degradation: implication for α-synuclein clearance and contribution to the pathogenesis of Parkinson's disease.

  2014cited by this paper
• Serum epidermal growth factor predicts cognitive functions in early, drug-naive Parkinson’s disease patients

  2013cited by this paper
• Tyrosine kinase inhibition facilitates autophagic SNCA/α-synuclein clearance

  2013cited by this paper
• Chapter 15: Disease Gene Prioritization

  2013cited by this paper
• Efficient community identification in complex networks

  2012cited by this paper
• Computational approaches to disease‐gene prediction: rationale, classification and successes

  2012influential reference
• GPEC: A Cytoscape plug-in for random walk-based gene prioritization and biomedical evidence collection

  2012cited by this paper
• A Multiobjective Genetic Algorithm to Find Communities in Complex Networks

  2012cited by this paper
• Exploiting Protein-Protein Interaction Networks for Genome-Wide Disease-Gene Prioritization

  2012cited by this paper
• Computational tools for prioritizing candidate genes: boosting disease gene discovery

  2012cited by this paper
• Plasma epidermal growth factor levels predict cognitive decline in Parkinson disease

  2011cited by this paper
• Disease Gene Prioritization

  2011cited by this paper
• Deep sequencing reveals 50 novel genes for recessive cognitive disorders

  2011cited by this paper
• A Complex Networks Approach for Data Clustering

  2011cited by this paper
• The GeneMANIA prediction server: biological network integration for gene prioritization and predicting gene function

  2010cited by this paper
• Gene regulatory network reveals oxidative stress as the underlying molecular mechanism of type 2 diabetes and hypertension

  2010cited by this paper
• Techniques for Prioritization of Candidate Disease Genes

  2010influential reference
• Network medicine: a network-based approach to human disease

  2010influential reference
• Algorithms and semantic infrastructure for mutation impact extraction and grounding

  2010cited by this paper
• Genomewide association studies and assessment of the risk of disease.

  2010cited by this paper
• Associating Genes and Protein Complexes with Disease via Network Propagation

  2010cited by this paper
• The power of protein interaction networks for associating genes with diseases

  2010cited by this paper
• Genotator: A disease-agnostic tool for genetic annotation of disease

  2010influential reference
• GeneCards Version 3: the human gene integrator

  2010cited by this paper
• Identifying disease-specific genes based on their topological significance in protein networks

  2009cited by this paper
• Community detection in graphs

  2009cited by this paper
• A systematic, large-scale resequencing screen of X-chromosome coding exons in mental retardation

  2009cited by this paper
• Linking genes to diseases: it's all in the data

  2009cited by this paper
• Revealing Biological Modules via Graph Summarization

  2009cited by this paper
• Statistical significance of communities in networks.

  2009cited by this paper
• Complexity: A Guided Tour

  2009influential reference
• Disease candidate gene identification and prioritization using protein interaction networks

  2009cited by this paper
• Walking the interactome for prioritization of candidate disease genes.

  2008cited by this paper
• Network-based global inference of human disease genes

  2008influential reference
• Text mining for biology - the way forward: opinions from leading scientists

  2008cited by this paper
• STRING 8—a global view on proteins and their functional interactions in 630 organisms

  2008cited by this paper
• A wiki for the life sciences where authorship matters

  2008cited by this paper
• Identifying gene-disease associations using centrality on a literature mined gene-interaction network

  2008cited by this paper
• Protein networks in disease.

  2008cited by this paper
• The Human Phenotype Ontology: a tool for annotating and analyzing human hereditary disease.

  2008cited by this paper
• BioInformatics: A Computing Perspective

  2008cited by this paper
• A navigator for human genome epidemiology

  2008cited by this paper
• A computational system to select candidate genes for complex human traits

  2007cited by this paper
• Positive selection at the protein network periphery: Evaluation in terms of structural constraints and cellular context

  2007cited by this paper
• KEGG for linking genomes to life and the environment

  2007cited by this paper
• Briefings in Bioinformatics Advance Access published July 16, 2007 BRIEFINGS IN BIOINFORMATICS. page1of14

  2007cited by this paper
• CFinder: locating cliques and overlapping modules in biological networks

  2006cited by this paper
• Exploring local community structures in large networks

  2006cited by this paper
• Gene prioritization through genomic data fusion

  2006cited by this paper
• A text-mining analysis of the human phenome

  2006cited by this paper
• The modular nature of genetic diseases

  2006cited by this paper
• Global topological features of cancer proteins in the human interactome

  2006cited by this paper
• Predicting disease genes using protein–protein interactions

  2006cited by this paper
• GFINDer: genetic disease and phenotype location statistical analysis and mining of dynamically annotated gene lists

  2005cited by this paper
• Speeding disease gene discovery by sequence based candidate prioritization

  2005cited by this paper
• Functional cartography of complex metabolic networks

  2005cited by this paper
• GeneSeeker: extraction and integration of human disease-related information from web-based genetic databases

  2005cited by this paper
• Clique percolation in random networks.

  2005cited by this paper
• Human protein reference database—2006 update

  2005cited by this paper
• Online Mendelian Inheritance in Man (OMIM), a knowledgebase of human genes and genetic disorders

  2004cited by this paper
• Evidence for dynamically organized modularity in the yeast protein–protein interaction network

  2004cited by this paper
• Genome-wide identification of genes likely to be involved in human genetic disease.

  2004cited by this paper
• An automated method for finding molecular complexes in large protein interaction networks

  2003cited by this paper
• Modular organization of cellular networks

  2003cited by this paper
• Topological structure analysis of the protein-protein interaction network in budding yeast.

  2003cited by this paper
• An efficient algorithm for large-scale detection of protein families.

  2002cited by this paper
• A similarity-based method for genome-wide prediction of disease-relevant human genes

  2002cited by this paper
• Community structure in social and biological networks

  2001cited by this paper
• Gene Ontology: tool for the unification of biology

  2000cited by this paper
• Online Mendelian Inheritance In Man (OMIM)

  2000influential reference
• Automatic Extraction of Biological Information from Scientific Text: Protein-Protein Interactions

  1999cited by this paper
• From molecular to modular cell biology

  1999cited by this paper
• Genatlas database, genes and development defects.

  1998cited by this paper
• A new cluster algorithm for graphs

  1998cited by this paper
• Quantitative Monitoring of Gene Expression Patterns with a Complementary DNA Microarray

  1995cited by this paper
• Hocus-pocus, the focus isn't strictly on locus: Rotter's social learning theory modified for health

  1992cited by this paper
• Introduction to Genetic Analysis

  1976cited by this paper
• Science: The Definitive Visual Guide

  1960cited by this paper
• Genes Prioritization with Respect to Cancer Gene Modules Using Functional Interaction Network Data

  year unknowncited by this paper

• A centrality based multi-objective approach to disease gene association

  2020cites this paper
• A Centrality Based Multi-Objective Disease-Gene Association Approach Using Genetic Algorithms

  2019influential citation
• Deep Learning based Human Diseases Pattern Prediction Technique for High Dimensional Human Diseases Data Sets

  2019cites this paper
• Role of AI techniques and deep learning in analyzing the critical health conditions

  2019cites this paper
• Parallel framework based gene signature-hierarchical random forest cluster for predicting human diseases

  2018influential citation
• Single-objective and multi-objective genetic algorithms for compression of biological networks

  2017cites this paper
• A methodology for disease gene association using centrality measures

  2016influential citation
• A Comparative Study and Analysis of DNA Sequence Classifiers for Predicting Human Diseases

  2016influential citation
• Disease-Gene Association Using Genetic Programming

  2015influential citation
• Evolutionary computation for disease gene association

  2015influential citation