Advancing functional and translational microbiome research using meta-omics approaches

X Zhang, L Li, J Butcher, A Stintzi, D Figeys - Microbiome, 2019 - Springer
The gut microbiome has emerged as an important factor affecting human health and
disease. The recent development of–omics approaches, including phylogenetic marker …

Association predictions of genomics, proteinomics, transcriptomics, microbiome, metabolomics, pathomics, radiomics, drug, symptoms, environment factor, and …

Y Pan, X Lei, Y Zhang - Medicinal research reviews, 2022 - Wiley Online Library
Currently, the research of multi‐omics, such as genomics, proteinomics, transcriptomics,
microbiome, metabolomics, pathomics, and radiomics, are hot spots. The relationship …

Identifying disease-related microbes based on multi-scale variational graph autoencoder embedding Wasserstein distance

H Zhu, H Hao, L Yu - BMC biology, 2023 - Springer
Background Enormous clinical and biomedical researches have demonstrated that
microbes are crucial to human health. Identifying associations between microbes and …

Human gene and disease associations for clinical‐genomics and precision medicine research

Z Ahmed, S Zeeshan, D Mendhe… - Clinical and translational …, 2020 - Wiley Online Library
We are entering the era of personalized medicine in which an individual's genetic makeup
will eventually determine how a doctor can tailor his or her therapy. Therefore, it is becoming …

Analysis of gut microbiota profiles and microbe-disease associations in children with autism spectrum disorders in China

M Zhang, W Ma, J Zhang, Y He, J Wang - Scientific reports, 2018 - nature.com
Autism spectrum disorder (ASD) is a set of complex neurodevelopmental disorders. Recent
studies reported that children with ASD have altered gut microbiota profiles compared with …

A novel approach based on KATZ measure to predict associations of human microbiota with non-infectious diseases

X Chen, YA Huang, ZH You, GY Yan, XS Wang - Bioinformatics, 2017 - academic.oup.com
Motivation Accumulating clinical observations have indicated that microbes living in the
human body are closely associated with a wide range of human noninfectious diseases …

Leveraging pre-trained language models for mining microbiome-disease relationships

N Karkera, S Acharya, SK Palaniappan - BMC bioinformatics, 2023 - Springer
Background The growing recognition of the microbiome's impact on human health and well-
being has prompted extensive research into discovering the links between microbiome …

MMEASE: online meta-analysis of metabolomic data by enhanced metabolite annotation, marker selection and enrichment analysis

Q Yang, B Li, S Chen, J Tang, Y Li, Y Li, S Zhang… - Journal of …, 2021 - Elsevier
Large-scale and long-term metabolomic studies have attracted widespread attention in the
biomedical studies yet remain challenging despite recent technique progresses. In …

TAM 2.0: tool for MicroRNA set analysis

J Li, X Han, Y Wan, S Zhang, Y Zhao, R Fan… - Nucleic acids …, 2018 - academic.oup.com
With the rapid accumulation of high-throughput microRNA (miRNA) expression profile, the
up-to-date resource for analyzing the functional and disease associations of miRNAs is …

NTSHMDA: prediction of human microbe-disease association based on random walk by integrating network topological similarity

J Luo, Y Long - … ACM transactions on computational biology and …, 2018 - ieeexplore.ieee.org
Accumulating clinic evidences have demonstrated that the microbes residing in human
bodies play a significantly important role in the formation, development, and progression of …