Machine-learning analysis of cross-study samples according to the gut microbiome in 12 infant cohorts is a research paper published in mSystems (2023). On theSindex it has a DataRank of 0. It has been cited 6 times.
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HHS | NIH | Eunice Kennedy Shriver National Institute of Child Health and Human Development
Grant: R01HD091731
HHS | NIH | National Institute of Diabetes and Digestive and Kidney Diseases
Grant: R01DK089201
NIH UG3/UH3
Grant: OD023253
NIH UG3/UH3
Grant: OD023275
HHS | NIH | U.S. National Library of Medicine
Grant: R01LM012723
NIH HHS
Grant: UG3 OD023253
NIH HHS
Grant: UH3 OD023275
NIH HHS
Grant: UG3 OD023275
NIH HHS
Grant: UH3 OD023253
National Institutes of Health
Grant: 5UH3OD023275-04
A prospective study of critical environmental exposures in formative early life that impact lifelong health in rural US children: the New Hampshire Birth Cohort Study
National Institutes of Health
Grant: 5R01HD091731-02
Source of the Placental Microbiome
National Institutes of Health
Grant: 5R01DK089201-10
Conserved Fetal Epigenomic and Metagenomic Signatures in a Primate Model of Maternal Obesity
National Institutes of Health
Grant: 5R01LM012723-02
Multi-omic Functional Integration Using Networks
National Institutes of Health
Grant: 4UH3OD023253-03
Airway microbiome and age 6y asthma phenotypes in 2 diverse multicenter cohorts
Päivikki and Sakari Solhberg Foundation
Orionin Tutkimussäätiö
Oulun Yliopistollinen Sairaala
University of Oulu Graduate School
Academy of Finland
Lastentautien Tutkimussäätiö
FWCI
0.56
Citation Percentile
0.6%
Citation Trend
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