Deep learning describes a class of machine learning algorithms that are capable of
combining raw inputs into layers of intermediate features. These algorithms have recently …

The human microbiome has become an area of intense research due to its potential impact
on human health. However, the analysis and interpretation of this data have proven to be …

Owing to the complexity and variability of metagenomic studies, modern machine learning
approaches have seen increased usage to answer a variety of question encompassing the …

Traditionally, human microbiology has been strongly built on the laboratory focused culture
of microbes isolated from human specimens in patients with acute or chronic infection …

This humble effort highlights the intricate details of metagenomics in a simple, poetic, and
rhythmic way. The paper enforces the significance of the research area, provides details …

Background Next generation sequencing technology has enabled characterization of
metagenomics through massively parallel genomic DNA sequencing. The complexity and …

By improving feature extraction techniques, high-dimensional datasets emerge more
frequently, in which irrelevant or redundant features may appear. This curse of dimensions …

The goal of metagenomic analysis is to extract relevant information concerning the
organisms that have left their genetic traces in an environmental sample. Each sample is …

宏基因组学研究试图通过测序并分析微生物群落的DNA 序列, 以理解环境微生物的组成及其与
环境的交互作用. 宏基因组学革命性地改变了微生物学, 使得以免培养的方式研究复杂生物系统 …

As of October 2020, there are 18, 6× 10^ 15 DNA base pairs publicly available in the
Sequence Read Archive and this number is growing at an exponential rate. As DNA …