An Improved Machine Learning-Based Approach to Assess the Microbial Diversity in Major North Indian River Ecosystems

An Improved Machine Learning-Based Approach to Assess the Microbial Diversity in Major North Indian River Ecosystems

The rapidly evolving high-throughput sequencing (HTS) technologies generate voluminous genomic and metagenomic sequences, which can help classify the microbial communities with high accuracy in many ecosystems. Conventionally, the rule-based binning techniques are used to classify the contigs or sca...

Full description

Bibliographic Details
Main Authors: Nalinikanta Choudhury, Tanmaya Kumar Sahu, Atmakuri Ramakrishna Rao, Ajaya Kumar Rout, Bijay Kumar Behera
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Genes
Subjects:
metagenomics
K-Means clustering
support vector machine
binning
river sediment
Online Access:https://www.mdpi.com/2073-4425/14/5/1082

Internet

https://www.mdpi.com/2073-4425/14/5/1082

Similar Items