Gene Identification: Classical and Computational Intelligence Approaches

No abstract is available for this paper.

• Publication year

  2008

• Venue

  IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)

• Publication date

  Unknown publication date

• Fields of study

  Biology, Computer Science

• Identifiers
  DOI 10.1109/TSMCC.2007.906066
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Sequence ― Evolution ― Function: Computational Approaches in Comparative Genomics

  2010cited by this paper
• Simulated Annealing

  2008cited by this paper
• Learning Bayesian networks

  2007cited by this paper
• Hidden Markov Models in Bioinformatics

  2007cited by this paper
• The DNA sequence and biological annotation of human chromosome 1

  2006cited by this paper
• Influence of cultivation temperature on the ligninolytic activity of selected fungal strains

  2006cited by this paper
• A neural network based multi-classifier system for gene identification in DNA sequences

  2005cited by this paper
• Nested genes in the human genome.

  2005cited by this paper
• An efficient technique for superfamily classification of amino acid sequences: feature extraction, fuzzy clustering and prototype selection

  2005cited by this paper
• GeneMark: web software for gene finding in prokaryotes, eukaryotes and viruses

  2005cited by this paper
• How prevalent is functional alternative splicing in the human genome?

  2004cited by this paper
• Mammalian overlapping genes: the comparative perspective.

  2004cited by this paper
• 21.10 n&v 915 MH

  2004cited by this paper
• Gene prediction and verification in a compact genome with numerous small introns.

  2004cited by this paper
• Applications of Case-Based Reasoning in Molecular Biology

  2004cited by this paper
• Dragon gene start finder: an advanced system for finding approximate locations of the start of gene transcriptional units.

  2003cited by this paper
• Genome-Wide Detection of Alternative Splicing in Expressed Sequences Using Partial Order Multiple Sequence Alignment Graphs

  2003cited by this paper
• Prediction of Protein Topologies Using GIOHMMs and GRNNs

  2003cited by this paper
• Combining local‐structure, fold‐recognition, and new fold methods for protein structure prediction

  2003cited by this paper
• Computational gene prediction using multiple sources of evidence.

  2003cited by this paper
• Identification of Coding Regions in DNA Sequences Using Evolved Neural Networks

  2003cited by this paper
• Recognition of Eukaryotic Promoters Using a Genetic Algorithm Based on Iterative Discriminant Analysis

  2003cited by this paper
• GlimmerM, Exonomy and Unveil: three ab initio eukaryotic genefinders

  2003cited by this paper
• Using MZEF to Find Internal Coding Exons

  2003cited by this paper
• A Case-Based Approach to Gene Finding

  2003cited by this paper
• Dragon Gene Start Finder identifies approximate locations of the 5' ends of genes

  2003cited by this paper
• Current methods of gene prediction, their strengths and weaknesses.

  2002influential reference
• Discovering Genomics, Proteomics, and Bioinformatics

  2002cited by this paper
• Computational prediction of eukaryotic protein-coding genes

  2002influential reference
• A Bayesian framework for combining gene predictions

  2002cited by this paper
• Introduction to algorithms [2nd ed.]

  2001cited by this paper
• Computational inference of homologous gene structures in the human genome.

  2001cited by this paper
• Integrating genomic homology into gene structure prediction

  2001cited by this paper
• Introduction to Algorithms, 2nd edition.

  2001cited by this paper
• 20 Applications of neural networks for gene finding

  2001cited by this paper
• Applications of neural networks for gene finding.

  2001cited by this paper
• Application of a Time-delay Neural Network to Promoter Annotation in the Drosophila Melanogaster Genome

  2001cited by this paper
• Phat--a gene finding program for Plasmodium falciparum.

  2001cited by this paper
• Gene recognition based on DAG shortest paths

  2001cited by this paper
• Pro-Frame: similarity-based gene recognition in eukaryotic DNA sequences with errors

  2001cited by this paper
• Bioinformatics - The Machine Learning Approach

  2000cited by this paper
• EUGÈNE: An Eukaryotic Gene Finder That Combines Several Sources of Evidence

  2000cited by this paper
• Training Hidden Markov Models with Multiple Observations-A Combinatorial Method

  2000cited by this paper
• Ab initio gene finding in Drosophila genomic DNA.

  2000cited by this paper
• Analysis of canonical and non-canonical splice sites in mammalian genomes.

  2000cited by this paper
• Gene-finding approaches for eukaryotes.

  2000cited by this paper
• Genie--gene finding in Drosophila melanogaster.

  2000cited by this paper
• EpoDB: a prototype database for the analysis of genes expressed during vertebrate erythropoiesis

  1999cited by this paper
• Classification of Arabidopsis thaliana gene sequences: clustering of coding sequences into two groups according to codon usage improves gene prediction.

  1999cited by this paper
• FORESST: fold recognition from secondary structure predictions of proteins

  1999cited by this paper
• Frequent alternative splicing of human genes.

  1999cited by this paper
• Interpolated Markov models for eukaryotic gene finding.

  1999cited by this paper
• A clean data set of EST-confirmed splice sites from Homo sapiens and standards for clean-up procedures

  1999cited by this paper
• Pfam: multiple sequence alignments and HMM-profiles of protein domains

  1998cited by this paper
• Assembling Genes from Predicted Exons in Linear Time with Dynamic Programming

  1998cited by this paper
• Gene clusters and polycistronic transcription in eukaryotes

  1998cited by this paper
• Case-based reasoning driven gene annotation

  1998cited by this paper
• A Decision Tree System for Finding Genes in DNA

  1998cited by this paper
• Neural Networks: A Comprehensive Foundation

  1998cited by this paper
• Computational methods in molecular biology

  1998cited by this paper
• A method for identifying splice sites and translational start sites in eukaryotic mRNA

  1997cited by this paper
• Clusters of multiple different small nucleolar RNA genes in plants are expressed as and processed from polycistronic pre‐snoRNAs

  1997cited by this paper
• An Introduction to Genetic Algorithms.

  1997cited by this paper
• Classification of introns: U2-type or U12-type.

  1997cited by this paper
• Combinatorial Approaches to Gene Recognition

  1997cited by this paper
• A genetic algorithm for designing gene family specific oligonucleotide sets used for hybridization. The G Protein-coupled receptor Protein superfamily

  1997cited by this paper
• Finding Genes in DNA with a Hidden Markov Model

  1997cited by this paper
• A branch point consensus from Arabidopsis found by non-circular analysis allows for better prediction of acceptor sites.

  1997cited by this paper
• Local Search in Combinatorial Optimisation.

  1997cited by this paper
• Computational methods for the identification of genes in vertebrate genomic sequences.

  1997influential reference
• Analysis of donor splice sites in different eukaryotic organisms

  1997cited by this paper
• Prediction of complete gene structures in human genomic DNA.

  1997cited by this paper
• Introduction to computational molecular biology

  1997cited by this paper
• Applying case-based reasoning - techniques for the enterprise systems

  1997cited by this paper
• A gentle tutorial on the EM algorithm and its application to parameter estimation for Gaussian mixture and hidden Markov models

  1997cited by this paper
• A tool for analyzing and annotating genomic sequences.

  1997cited by this paper
• An Algorithm for Highly Specific Recognition of Protein-coding Regions

  1996cited by this paper
• Evaluation of gene structure prediction programs.

  1996cited by this paper
• Discovering and understanding genes in human DNA sequence using GRAIL.

  1996cited by this paper
• A Flexible Motif Search Technique Based on Generalized Profiles

  1996cited by this paper
• Splice site prediction in Arabidopsis thaliana pre-mRNA by combining local and global sequence information.

  1996cited by this paper
• Logitlinear models for the prediction of splice sites in plant pre-mRNA sequences.

  1996cited by this paper
• MULTI-PLAN RETRIEVAL AND ADAPTATION IN AN EXPERIENCE-BASED AGENT

  1996cited by this paper
• Recognition of Genes in Human DNA Sequences

  1996cited by this paper
• PHD: predicting one-dimensional protein structure by profile-based neural networks.

  1996cited by this paper
• Gene recognition via spliced sequence alignment.

  1996cited by this paper
• ORFs and Genes: How Strong a Connection?

  1995cited by this paper
• Identification of protein coding regions in genomic DNA.

  1995cited by this paper
• Locating Protein Coding Regions in Human DNA Using a Decision Tree Algorithm

  1995cited by this paper
• FANS-REF: a bibliography on statistics and functional analysis of nucleotide sequences

  1995cited by this paper
• Prediction of Function in DNA Sequence Analysis

  1995cited by this paper
• Constructing gene models from accurately predicted exons: an application of dynamic programming

  1994cited by this paper
• Genetic algorithms and simulated annealing for gene mapping

  1994cited by this paper
• Learning Bayesian Networks: The Combination of Knowledge and Statistical Data

  1994cited by this paper
• Programs for Machine Learning

  1994cited by this paper
• A System for Induction of Oblique Decision Trees

  1994cited by this paper
• An Improved System for Exon Recognition and Gene Modeling in Human DNA Sequence

  1994cited by this paper
• Induction of Oblique Decision Trees

  1993cited by this paper
• Prediction of the exon-intron structure by a dynamic programming approach.

  1993cited by this paper
• Dynamic Programming

  1993cited by this paper

• An overview of computational methods for gene prediction in eukaryotes: strengths, limitations, and future directions

  2025cites this paper
• White Blood Cell Classification Using Texture and RGB Features of Oversampled Microscopic Images

  2022cites this paper
• Adaptive Machine Learning Algorithm and Analytics of Big Genomic Data for Gene Prediction

  2021cites this paper
• Novel PSSM-Based Approaches for Gene Identification Using Support Vector Machine

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• Predictive Analytics on Genomic Data with High-Performance Computing

  2020cites this paper
• A Comparative Analysis of Genes Responsible for Cataract

  2020cites this paper
• Evaluating the performance of sequence encoding schemes and machine learning methods for splice sites recognition.

  2019cites this paper
• Cancer Biomarker Assessment Using Evolutionary Rough Multi-Objective Optimization Algorithm

  2019cites this paper
• A Survey on Different Feature Selection Method for Cancer Biomarker Discovery.

  2018cites this paper
• Artificial Reproduction System and Imbalanced Dataset: A Mendelian Classification

  2017cites this paper
• Hybrid technique for splice site prediction

  2017cites this paper
• Accelerating search tree based brute force motif discovery technique on a processor cluster

  2016cites this paper
• Physico-chemical fingerprinting of RNA genes

  2016cites this paper
• Application of Genetic Algorithm for Quantifying the Affect of Breakdown Maintenance on Machine Layout

  2016cites this paper
• Fuzzy based Feature Selection Scheme through Transductive SVM Technique for Cancer Pattern Classification and Prediction

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• An Efficient Fast Clustering and Fuzzy TSVM for Cancer Classification of Gene Expression Data

  2015cites this paper
• PFU: Profiling Forum users in online social networks, a knowledge driven data mining approach

  2015cites this paper
• SURVEY OF GENE-EXPRESSION-BASED CANCER SUBTYPES PREDICTION

  2014cites this paper
• An An An Innovative Innovative Innovative Innovative Gene Identification Gene Identification Gene Identification Gene Identification and Classification Method by and Classification Method by and Classification Method by and Classification Method by Bidirectional String Matching Algorithm Bidirection

  2014cites this paper
• Hybrid Approach Using SVM and MM2 in Splice Site Junction Identification

  2014cites this paper
• Cancer Gene Identification Using Fuzzy C-Means Algorithm

  2014cites this paper
• Detection of Colon Cancer by Classification of Genes and Feature Selection using Microarray Data

  2014cites this paper
• Fuzzy Preference Based Feature Selection and Semisupervised SVM for Cancer Classification

  2014cites this paper
• Biologically inspired intelligent decision making

  2013cites this paper
• A comparative analysis of soft computing techniques for gene prediction.

  2013cites this paper
• Gene-Expression-Based Cancer Subtypes Prediction Through Feature Selection and Transductive SVM

  2013cites this paper
• Soft Computing for Image and Multimedia Data Processing

  2013cites this paper
• A Review of Soft Computing Techniques for Gene Prediction

  2013influential citation
• Progress in Gene Prediction: Principles and Challenges

  2013cites this paper
• Design of Algorithms for Gene Predictions

  2013cites this paper
• A Novel Algorithm for Prediction of Protein Coding DNA from Non-coding DNA in Microbial Genomes Using Genomic Composition and Dinucleotide Compositional Skew

  2012cites this paper
• Application of Bioinformatics and Data Mining in Cancer Prediction

  2012cites this paper
• Computational Approaches for Gene Prediction: A Comparative Survey

  2011cites this paper
• Supervised chromosome clustering and image classification

  2011cites this paper
• Chord recognition using neural networks based on Particle Swarm Optimization

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• PATTERNS OF DIPEPTIDE USAGE FOR GENE PREDICTION

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• Incremental Embedding and Learning in the Local Discriminant Subspace With Application to Face Recognition

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• An efficient gene selection technique for cancer recognition based on neighborhood mutual information

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• Feature evaluation and selection based on neighborhood soft margin

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• Detection of Splice Sites Using Support Vector Machine

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• Process of Extracting Uncover Patterns from Data: A Review

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