Although metagenomic sequencing is now the preferred technique to study microbiome-host
interactions, analyzing and interpreting microbiome sequencing data presents challenges …

Massive microbiome sequencing data has been generated, which elucidates associations
between microbes and their environmental phenotypes such as host health or ecosystem …

The mechanisms underlying the many phenotypic manifestations of post-acute COVID-19
syndrome (PACS) are poorly understood. Herein, we characterized the gut microbiome in …

High throughput technological innovations in the past decade have accelerated research
into the trillions of commensal microbes in the gut. The 'omics' technologies used for …

The 16S rRNA gene works as a rapid and effective marker for the identification of
microorganisms in complex communities; hence, a huge number of microbiomes have been …

Microbiome has emerged as a promising indicator or predictor of human diseases.
However, previous studies have typically labeled each specimen as either healthy or with a …

Advancements in artificial intelligence (AI) have transformed many scientific fields, with
microbiology and microbiome research now experiencing significant breakthroughs through …

Advancements in high-throughput technologies have yielded large-scale human gut
microbiota profiles, sparking considerable interest in exploring the relationship between the …

Machine Learning is key in modern data analysis. However, privacy concerns related to
sharing sensitive data often hinder the full potential of Machine Learning. One of the popular …

In the era of big data, eXtreme Multi-label Classification (XMC) has already become one of
the most essential research tasks to deal with enormous label spaces in machine learning …