A novel deep contrastive convolutional autoencoder based binning approach for taxonomic independent metagenomics data
In this study, we present an innovative binning approach for metagenomics data that
combines Natural Language Processing (NLP) with a Deep Contrastive Convolutional …
combines Natural Language Processing (NLP) with a Deep Contrastive Convolutional …
NaturePred: A Tool for Revolutionizing Natural Product Classification with Artificial Intelligence
SD Madival, DC Mishra, KK Chaturvedi… - Current …, 2025 - benthamdirect.com
Background The identification and classification of natural products are vital in drug
discovery and bioactive compound exploration. Traditional methods are laborious and time …
discovery and bioactive compound exploration. Traditional methods are laborious and time …
Metagenomic binning based on unsupervised extreme learning machine
J Herazo-Alvarez, P Barria-Valdebenito… - 2023 IEEE CHILEAN …, 2023 - ieeexplore.ieee.org
Metagenomics studies the genetic information of microbial communities in different contexts.
As metagenomic DNA is often fragmented and then sequenced into small reads, these …
As metagenomic DNA is often fragmented and then sequenced into small reads, these …