Metagenomics and marker gene approaches, coupled with high-throughput sequencing
technologies, have revolutionized the field of microbial ecology. Metagenomics is a culture …

Microbiome data predictive analysis within a machine learning (ML) workflow presents
numerous domain-specific challenges involving preprocessing, feature selection, predictive …

Characterizing biomarkers based on microbiome profiles has great potential for translational
medicine and precision medicine. Here, we present microbiomeMarker, an R/Bioconductor …

MicrobiomeAnalyst is an easy-to-use, web-based platform for comprehensive analysis of
common data outputs generated from current microbiome studies. It enables researchers …

Background & Aims The enteric mycobiota is a major component of the human gut
microbiota, but its role in colorectal cancer (CRC) remains largely elusive. We conducted a …

Metagenomic sequencing is a powerful tool for examining the diversity and complexity of
microbial communities. Most widely used tools for taxonomic profiling of metagenomic …

Aiming at the problem of low accuracy of traditional brain tumor detection, in this paper, a
combination of multimodal information fusion and convolution neural network detection …

The recent development of cost‐effective high‐throughput DNA sequencing technologies
has tremendously increased microbiome research. However, it has been well documented …

Mounting evidence has shown that gut microbiome is associated with various cancers,
including gastrointestinal (GI) tract and non-GI tract cancers. But microbiome data have …

Metagenomic next-generation sequencing (mNGS) is an untargeted technique for
determination of microbial DNA/RNA sequences in a variety of sample types from patients …