Microbiota-based model improves the sensitivity of fecal immunochemical test for detecting colonic lesions
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Looking for a Signal in the Noise: Revisiting Obesity and the Microbiome.OptiClust, an Improved Method for Assigning Amplicon-Based Sequence Data to Operational Taxonomic Units.DNA from fecal immunochemical test can replace stool for detection of colonic lesions using a microbiota-based modelRole of intestinal microbiome in American ginseng-mediated colon cancer protection in high fat diet-fed AOM/DSS mice.Exact sequence variants should replace operational taxonomic units in marker-gene data analysis.Fusobacterium and colorectal cancer: causal factor or passenger? Results from a large colorectal cancer screening study.Quantitation of faecal Fusobacterium improves faecal immunochemical test in detecting advanced colorectal neoplasia.A roadmap to translating the microbiome.Normalization of the microbiota in patients after treatment for colonic lesions.High-resolution bacterial 16S rRNA gene profile meta-analysis and biofilm status reveal common colorectal cancer consortia.Meta-analysis of gut microbiome studies identifies disease-specific and shared responses.Mucosa-associated microbiota dysbiosis in colitis associated cancer.Microbial markers in the diagnosis of colorectal cancer: the promise, reality and challenge.Fusobacterium's link to colorectal neoplasia sequenced: A systematic review and future insights.Using standard microbiome reference groups to simplify beta-diversity analyses and facilitate independent validation.Correcting for batch effects in case-control microbiome studies.16S rRNA Gene Sequencing for Deciphering the Colorectal Cancer Gut Microbiome: Current Protocols and Workflows.Fecal Microbiota Signatures Are Associated with Response to Ustekinumab Therapy among Crohn's Disease Patients.Leveraging Existing 16S rRNA Gene Surveys To Identify Reproducible Biomarkers in Individuals with Colorectal Tumors.A taxonomic signature of obesity in a large study of American adults.Predictability and persistence of prebiotic dietary supplementation in a healthy human cohortThe implementation of omics technologies in cancer microbiome research
P2860
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P2860
Microbiota-based model improves the sensitivity of fecal immunochemical test for detecting colonic lesions
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
2016年论文
@zh
2016年论文
@zh-cn
name
Microbiota-based model improve ...... for detecting colonic lesions
@ast
Microbiota-based model improve ...... for detecting colonic lesions
@en
type
label
Microbiota-based model improve ...... for detecting colonic lesions
@ast
Microbiota-based model improve ...... for detecting colonic lesions
@en
prefLabel
Microbiota-based model improve ...... for detecting colonic lesions
@ast
Microbiota-based model improve ...... for detecting colonic lesions
@en
P2860
P50
P1433
P1476
Microbiota-based model improve ...... for detecting colonic lesions
@en
P2093
Mack T Ruffin
P2860
P2888
P356
10.1186/S13073-016-0290-3
P577
2016-04-06T00:00:00Z
P5875
P6179
1008125004