Predicting microbiome compositions from species assemblages through deep learning is a research paper published in iMeta (2022). On theSindex it has a DataRank of 0. It has been cited 56 times.
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National Institutes of Health
Grant: R01AI141529
National Institutes of Health
Grant: R01HD093761
National Institutes of Health
Grant: RF1AG067744
National Institutes of Health
Grant: U01HL089856
National Institutes of Health
Grant: U19AI095219
National Institutes of Health
Grant: UH3OD023268
National Institutes of Health
Grant: 1RF1AG067744-01
Prospective Study of the Gut Microbiome in Aging
National Institutes of Health
Grant: 1U01HL089856-01A1
Genetic Epidemiology of COPD
National Institutes of Health
Grant: 5U19AI095219-04
Pathophysiologic and therapeutic mechanisms of aspirin exacerbated respiratory d*
National Institutes of Health
Grant: 5R01AI141529-03
Functional Redundancy of Human Microbiome and its Implication in Fecal Microbiota Transplantation
National Institutes of Health
Grant: 5R01HD093761-05
Long-term health consequences of birth by cesarean section
National Institutes of Health
Grant: 5UH3OD023268-05
Multi-omic approaches to mechanisms of vitamin D, environmental influences, and the microbiome on asthma
FWCI
4.00
Citation Percentile
1.0%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals