Gene classification artificial neural system
Explore this paper's citation graph
- Type
- article
- Published
- 1995-05-29
- Cited by
- 35
- References
- 38
- OpenAlex
- https://openalex.org/W1673354680
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:1093097
Keywords
Computational biology, Neural system, Artificial neural network, Artificial intelligence, Biology
References
- Automated assembly of protein blocks for database searching.
- Self-organization and associative memory: 3rd edition
- The Protein Folding Problem and Tertiary Structure Prediction
- Molecular evolution: computer analysis of protein and nucleic acid sequences.
- Computer Systems That Learn
- Computer Systems That Learn: Classification and Prediction Methods from Statistics, Neural Nets, Machine Learning and Expert Systems
- Searching through sequence databases.
- Profile analysis: detection of distantly related proteins.
- Determination of eukaryotic protein coding regions using neural networks and information theory.
- Self‐organized neural maps of human protein sequences
- Back-propagation and counter-propagation neural networks for phylogenetic classification of ribosomal RNA sequences.
- Combining evolutionary information and neural networks to predict protein secondary structure
- Classification Neural Networks for Rapid Sequence Annotation and Automated Database Organization
- Protein classification artificial neural system
- Locating protein-coding regions in human DNA sequences by a multiple sensor-neural network approach.
- Basic local alignment search tool.
- Prediction of structural and functional features of protein and nucleic acid sequences by artificial neural networks.
- Pedagogical pattern selection strategies
- Escherichia coli promoters: neural networks develop distinct descriptions in learning to search for promoters of different spacing classes
- Predicting the secondary structure of globular proteins using neural network models.
Cited by
- Evaluation of a neural networks QSAR method based on ligand representation using substituent descriptors. Application to HIV-1 protease inhibitors.
- Gene family identification network design
- Neural networks for genome signature analysis
- Neural network based phylogenetic analysis
- An Advanced Conjugate Gradient Training Algorithm Based on a Modified Secant Equation
- A new conjugate gradient algorithm for training neural networks based on a modified secant equation
- Gene Family Identification Network Design for Protein Sequence Analysis
- A Protein Class Database Organized with ProSite Protein Groups and PIR Superfamilies
- A Sequence Alignment-Independent Method for Protein Classification
- GeneFIND web server for protein family identification and information retrieval
- Artificial Neural Networks for Molecular Sequence Analysis
- Pattern Recognition Techniques in Microarray Data Analysis
- Artificial neural networks for computer-based molecular design.
- Motif identification neural design for rapid and sensitive protein family search
- Feature selection for genetic sequence classification
- A modified Kohonen network for DNA splice junction classification
- Modular arrangement of proteins as inferred from analysis of homology
- DNA classifications with self-organizing maps (SOMs)
- Bayesian Protein Family Classifier
- An Improved spectral conjugate Gradient Neural Network Training Algorithm
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