Identification and classification of hepatitis C virus: an advance machine-learning-based approach

2020 ◽  
pp. 393-415
Author(s):  
Janmenjoy Nayak ◽  
Pemmada Suresh Kumar ◽  
Dukka Karun Reddy ◽  
Bighnaraj Naik
Keyword(s):  
Machine Learning ◽  
Hepatitis C Virus ◽  
Hepatitis C

Classification of hepatitis C virus into major types and subtypes based on molecular evolutionary analysis

1995 ◽  
Vol 36 (2-3) ◽  
pp. 201-214 ◽  
Author(s):  
Ken-ichi Ohba ◽  
Masashi Mizokami ◽  
Tomoyoshi Ohno ◽  
Kaoru Suzuki ◽  
Etsuro Orito ◽  
...  
Keyword(s):  
Hepatitis C Virus ◽  
Hepatitis C ◽  
Evolutionary Analysis ◽  
Molecular Evolutionary Analysis

Analysis of HCV’s Linearity Using Support Vector Machine (SVM)

2014 ◽  
Vol 548-549 ◽  
pp. 1265-1269
Author(s):  
Yun Sik Hwang ◽  
Byeong Joo Jun ◽  
Tae Seon Yoon
Keyword(s):  
Neural Network ◽  
Support Vector Machine ◽  
Hepatitis C Virus ◽  
Data Analysis ◽  
Hepatitis C ◽  
Amino Acid ◽  
Support Vector ◽  
Svm Algorithm ◽  
Genetic Patterns

As the stage of bioinformatics has been upgraded, classification of certain pathogen has been improved into a new manner. The main topic of this research is genetic singularity of HCV (Hepatitis C Virus) and our objective is to assay features of the HCV's amino acid under usage of Support Vector Machine (SVM) algorithm. HCV data used in our experiment has 10 kinds of sequences and 257 kinds of data. According to data analysis, some peculiar genetic patterns of HCV’s linearity that discord pre-existing neural network and C5.0 were found.

scholarly journals Machine learning models to predict disease progression among veterans with hepatitis C virus

PLoS ONE ◽  
2019 ◽  
Vol 14 (1) ◽  
pp. e0208141 ◽  
Author(s):  
Monica A. Konerman ◽  
Lauren A. Beste ◽  
Tony Van ◽  
Boang Liu ◽  
Xuefei Zhang ◽  
...  
Keyword(s):  
Machine Learning ◽  
Hepatitis C Virus ◽  
Hepatitis C ◽  
Disease Progression ◽  
Learning Models ◽  
Machine Learning Models ◽  
Predict Disease Progression

scholarly journals Complete genomes of hepatitis C virus (HCV) subtypes 6c, 6l, 6o, 6p and 6q: completion of a full panel of genomes for HCV genotype 6

2007 ◽  
Vol 88 (5) ◽  
pp. 1519-1525 ◽  
Author(s):  
Ling Lu ◽  
Chunhua Li ◽  
Yongshui Fu ◽  
Fengxiang Gao ◽  
Oliver G. Pybus ◽  
...  
Keyword(s):  
Hepatitis C Virus ◽  
Hepatitis C ◽  
Reference Sequence ◽  
Full Genome ◽  
Eastern Asia ◽  
Full Genome Sequencing ◽  
Hcv Genotype ◽  
Complete Genomes ◽  
Complete Sequences

Five hepatitis C virus (HCV) complete genome sequences (Th846, 537796, QC227, QC216 and QC99) from a blood donor in Thailand and three Asian immigrants and one Caucasian in North America were determined. Phylogenetically, they represent the first complete genomes for subtypes 6c, 6l, 6o, 6p and 6q, respectively. Similarity analysis showed no evidence of inter- or intrasubtype recombination. Further analysis in conjunction with partial sequences from the Los Alamos HCV database led to the identification of other closely related isolates from south-eastern Asia or immigrants from that region. However, Th846 did not cluster with any reference sequence and is the sole isolate of subtype 6c reported so far. This study completes the full genome sequencing of all 17 assigned HCV genotype 6 subtypes (6a–6q). The utility of this panel of complete sequences for accurate detection and classification of infection, and for estimating the origin of this genotype of HCV, is discussed.

scholarly journals Expanded classification of hepatitis C virus into 7 genotypes and 67 subtypes: Updated criteria and genotype assignment web resource

Hepatology ◽  
2013 ◽  
Vol 59 (1) ◽  
pp. 318-327 ◽  
Author(s):  
Donald B. Smith ◽  
Jens Bukh ◽  
Carla Kuiken ◽  
A. Scott Muerhoff ◽  
Charles M. Rice ◽  
...  
Keyword(s):  
Hepatitis C Virus ◽  
Hepatitis C ◽  
Web Resource ◽  
Genotype Assignment

On the Origins of Hepatitis C Virus NS5B Polymerase Inhibitory Activity Using Machine Learning Approaches

2015 ◽  
Vol 15 (18) ◽  
pp. 1814-1826 ◽  
Author(s):  
Apilak Worachartcheewan ◽  
Veda Prachayasittikul ◽  
Nuttapat Anuwongcharoen ◽  
Watshara Shoombuatong ◽  
Virapong Prachayasittikul ◽  
...  
Keyword(s):  
Machine Learning ◽  
Hepatitis C Virus ◽  
Hepatitis C ◽  
Inhibitory Activity ◽  
Learning Approaches ◽  
Ns5b Polymerase

StackHCV: a web-based integrative machine-learning framework for large-scale identification of hepatitis C virus NS5B inhibitors

2021 ◽  
Author(s):  
Aijaz Ahmad Malik ◽  
Warot Chotpatiwetchkul ◽  
Chuleeporn Phanus-umporn ◽  
Chanin Nantasenamat ◽  
Phasit Charoenkwan ◽  
...  
Keyword(s):  
Machine Learning ◽  
Hepatitis C Virus ◽  
Hepatitis C ◽  
Large Scale ◽  
Web Based ◽  
Learning Framework
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