Results 91 to 100 of about 223,316 (222)

Integrating network pharmacology, metabolomics, and gut microbiota analysis to explore the effects of Jinhong tablets on chronic superficial gastritis [PDF]

open access: yesarXiv
Chronic superficial gastritis (CSG) severely affects quality of life and can progress to worse gastric pathologies. Traditional Chinese Medicine (TCM) effectively treats CSG, as exemplified by Jinhong Tablets (JHT) with known anti-inflammatory properties, though their mechanism remains unclear.
arxiv  

Novel Evidence Suggesting Clostridium difficile Is Present in Human Gut Microbiota More Frequently than Previously Suspected [PDF]

open access: bronze, 2004
Masahiro Iizuka   +9 more
openalex   +1 more source

Intra- and Interspecific Comparisons of Bacterial Diversity and Community Structure Support Coevolution of Gut Microbiota and Termite Host [PDF]

open access: green, 2005
Yuichi Hongoh   +8 more
openalex   +1 more source

The SERPINB4 gene mutation identified in twin patients with Crohn’s disease impaires the intestinal epithelial cell functions

open access: yesScientific Reports
Crohn’s disease (CD) is a chronic inflammatory autoimmune disease of unknown etiology. To identify new targets related to the initiation of CD, we screened a pair of twins with CD, which is a rare phenomenon in the Chinese population, for genetic ...
Xiao-Mei Ouyang   +10 more
doaj   +1 more source

Metagenomic analysis revealed significant changes in cattle rectum microbiome and antimicrobial resistome under fescue toxicosis [PDF]

open access: yesarXiv
Fescue toxicity causes reduced growth and reproductive issues in cattle grazing endophyte-infected tall fescue. To characterize the gut microbiota and its response to fescue toxicosis, we collected fecal samples before and after a 30-days toxic fescue seeds supplementation from eight Angus Simmental pregnant cows and heifers.
arxiv  

Convolutional neural networks for structured omics: OmicsCNN and the OmicsConv layer [PDF]

open access: yesarXiv, 2017
Convolutional Neural Networks (CNNs) are a popular deep learning architecture widely applied in different domains, in particular in classifying over images, for which the concept of convolution with a filter comes naturally. Unfortunately, the requirement of a distance (or, at least, of a neighbourhood function) in the input feature space has so far ...
arxiv  

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