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MVP: Detection of motif-making and -breaking mutations
The gain and loss of such motifs can carry important consequences.
Reduction in the complexity of 1D 1H-NMR spectra by the use of Frequency to Information Transformation
Analysis of 1H-NMR spectra is often hindered by large variations that occur during the collection of these spectra.
A Comparative study of Artificial Neural Networks Using Reinforcement learning and Multidimensional Bayesian Classification Using Parzen Density Estimation for Identification of GC-EIMS Spectra of Partially Methylated Alditol Acetates
The developed system is implemented on the world wide web, and is intended to identify PMAAs using submitted spectra of these molecules recorded on any GC-EIMS instrument.
Identification of 1H-NMR Spectra of Xyloglucan Oligosaccharides: A Comparative Study of Artificial Neural Networks and Bayesian Classification Using Nonparametric Density Estimation
Proton nuclear magnetic resonance (1H-NMR) is a widely used tool for chemical structural analysis.
Parallel, Self Organizing, Consensus Neural Networks
The architecture has all the advantages of the previous models such as self-organization and possesses some other superior characteristics such as input parallelism and decision making based on consensus.
