Artificial Neural Networks for Molecular Sequence Analysis

Keywords

Artificial neural network, Computer science, Sequence (biology), Variety (cybernetics), Artificial intelligence

References

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• Predicting protein secondary structure content. A tandem neural network approach.Steven M. Muskal, Sung‐Hou Kim — 1992
• Artificial Neural Networks: Approximation and Learning TheoryHalbert White — 1992
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Cited by

• BPSI2.0: a C/C++ interface program for species identification via DNA barcoding with a BP‐neural network by calling the Matlab engine廣道 伊川, 宏明 増山, 宏治 渡辺 — 2009
• Artificial intelligence techniques for bioinformatics.Ajit Narayanan, Edward Keedwell, Björn Olsson — 2002
• From Sequence to Sorting : Prediction of Signal PeptidesHenrik Nielsen — 1999
• Prediction of protein function using signal processing of biochemical propertiesK. Gopalakrishnan, Kayvan Najarian — 2003
• Protein sequences classification using radial basis function (RBF) neural networksDianhui Wang, Nung Kion Lee, Tharam S. Dillon — 2002
• Computational methods in Bioinformatics: Introduction, Review, and ChallengesMoustafa Elshafei — 2001
• Data mining for building neural protein sequence classification systems with improved performanceDianhui Wang, Nung Kion Lee, Tharam S. Dillon — 2003
• Detecting lateral genetic material transferClaudia Irene Calderón, Luis Delaye, Víctor Mireles — 2012
• The Use of Artificial Neural Networks in Prediction of Congenital CMV Outcome from Sequence DataRavit Arav‐Boger, Yuval S. Boger, Charles B. Foster — 2008
• Neural networks for protein classificationWagner Rodrigo Weinert, Heitor Silvério Lopes — 2004
• An improvement of chaos-based hash function in cryptanalysis approach: An experience with chaotic neural networks and semi-collision attackWafaa Ghonaim, Neveen I. Ghali, Aboul Ella Hassanien — 2013
• A comparative analysis of soft computing techniques for gene prediction.Neelam Goel, Shailendra Narayan Singh, Trilok Chand Aseri — 2013
• A New Method for Synthesis of Thermodynamically Equivalent Structures for Petlyuk ArrangementsBen‐Guang Rong, Илкка Турунен — 2006
• Prediction of Cyclin-Dependent Kinase Phosphorylation SubstratesEmmanuel J. Chang, Rashida Begum, Brian T. Chait — 2007
• Using Surrogate Modeling in the Prediction of Fibrinogen Adsorption onto Polymer SurfacesJack R. Smith, Doyle Knight, Joachim Kohn — 2004
• Automatic identification of species with neural networksAndrés Hernández-Serna, Luz F. Jiménez‐Segura — 2014
• New Heat-Integrated Distillation Configurations for Petlyuk ArrangementsBen‐Guang Rong, Илкка Турунен — 2006
• Artificial neural networks for prediction of mycobacterial promoter sequencesRupali N. Kalate, Sanjeev S. Tambe, Bhaskar D. Kulkarni — 2003
• Classification of breast cancer microarray data using Radial Basis Function NetworkUmi Hanim Mazlan, Puteh Saad — 2012
• Applying neural networks to classify influenza virus antigenic types and hostsPavan Kumar Attaluri, Zhengxin Chen, Guoqing Lu — 2010

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