6 citations · 22 across the 21 of their papers we have counts for
22 papers
An Investigation in Optimal Encoding of Protein Primary Sequence for Structure Prediction by Artificial Neural Networks
Aaron Hein, Casey Cole, Homayoun Valafar
Machine learning and the use of neural networks has increased precipitously over the past few years primarily due to the ever-increasing accessibility to data and the growth of com…
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
Faramarz Valafar, Homayoun Valafar
This study reports the development of a pattern recognition search engine for a World Wide Web-based database of gas chromatography-electron impact mass spectra (GC-EIMS) of partia…
Process of Efficiently Parallelizing a Protein Structure Determination Algorithm
Michael Bryson, Xijiang Miao, Homayoun Valafar
Computational protein structure determination involves optimization in a problem space much too large to exhaustively search. Existing approaches include optimization algorithms su…
Parallel, Self Organizing, Consensus Neural Networks
Homayoun Valafar, Faramarz Valafar, Okan Ersoy
A new neural network architecture (PSCNN) is developed to improve performance and speed of such networks. The architecture has all the advantages of the previous models such as sel…
Identification of 1H-NMR Spectra of Xyloglucan Oligosaccharides: A Comparative Study of Artificial Neural Networks and Bayesian Classification Using Nonparametric Density Estimation
Faramarz Valafar, Homayoun Valafar, William S. York
Proton nuclear magnetic resonance (1H-NMR) is a widely used tool for chemical structural analysis. However, 1H-NMR spectra suffer from natural aberrations that render computer-assi…
A Preliminary Investigation in the Molecular Basis of Host Shutoff Mechanism in SARS-CoV
Niharika Pandala, Casey A. Cole, Devaun McFarland +2
Recent events leading to the worldwide pandemic of COVID-19 have demonstrated the effective use of genomic sequencing technologies to establish the genetic sequence of this virus.…