FPGA-based hardware accelerator for the prediction of protein secondary class via fuzzy K-nearest neighbors with Lempel–Ziv complexity based distance measure-Reference-Cited by-同舟云学术

FPGA-based hardware accelerator for the prediction of protein secondary class via fuzzy K-nearest neighbors with Lempel–Ziv complexity based distance measure

Published:2015-01 Issue: Volume:148 Page:409-419
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Tan Yong Tat,Rosdi Bakhtiar Affendi^ORCID

Funder

Universiti Sains Malaysia

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference35 articles.

1. Prediction of protein structural class using novel evolutionary collocation-based sequence representation;Chen;J. Comput. Chem.,2008

2. Machine learning methods for protein structure prediction;Cheng;IEEE Rev. Biomed. Eng.,2008

3. Analysis and implications of simple methods for predicting the secondary structure of globular proteins;Garnier;J. Mol. Biol.,1978

4. GOR method for predicting protein secondary structure from amino acid sequence;Garnier;Methods Enzymol.,1996

5. Prediction of protein structural classes by neural network;Cai;Biochimie,2000

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Depth-based human action recognition using histogram of templates;Multimedia Tools and Applications;2023-10-09

2. Secundary Structure of Physicochemical Clustered Proteins;2023-06-01

3. Convolution-Bidirectional Temporal Convolutional Network for Protein Secondary Structure Prediction;IEEE Access;2022

4. Protein secondary structure prediction (PSSP) using different machine algorithms;Egyptian Journal of Medical Human Genetics;2021-06-07

5. Protein secondary structure prediction based on integration of CNN and LSTM model;Journal of Visual Communication and Image Representation;2020-08