Search research articles
Contact Us
Filters
Showing results (271-280 of 274) with videos related to
Page
of 28
Sort By:
You have reached the last page of results.
This site can display upto 274 results.
Nutrients
|
September 28, 2021
Identification and Characterization of Human Observational Studies in Nutritional Epidemiology on Gut Microbiomics for Joint Data Analysis
Mariona Pinart, Katharina Nimptsch, Sofia K Forslund, et al.
The Journal of Nutrition
|
March 1, 2018
Joint Data Analysis in Nutritional Epidemiology: Identification of Observational Studies and Minimal Requirements
Mariona Pinart, Katharina Nimptsch, Jildau Bouwman, et al.
Medrxiv : the Preprint Server for Health Sciences
|
March 22, 2023
Microbiome Preterm Birth DREAM Challenge: Crowdsourcing Machine Learning Approaches to Advance Preterm Birth Research
Jonathan L Golob, Tomiko T Oskotsky, Alice S Tang, et al.
Cell Reports. Medicine
|
December 22, 2023
Microbiome preterm birth DREAM challenge: Crowdsourcing machine learning approaches to advance preterm birth research
Jonathan L Golob, Tomiko T Oskotsky, Alice S Tang, et al.
Page
of 28
Search research articles
Search
Showing results (271-280 of 274) with videos related to
Sort By:
Page
of 28
You have reached the last page of results.
This site can display upto 274 results.
Nutrients
|
September 28, 2021
Identification and Characterization of Human Observational Studies in Nutritional Epidemiology on Gut Microbiomics for Joint Data Analysis
Mariona Pinart, Katharina Nimptsch, Sofia K Forslund, et al.
The Journal of Nutrition
|
March 1, 2018
Joint Data Analysis in Nutritional Epidemiology: Identification of Observational Studies and Minimal Requirements
Mariona Pinart, Katharina Nimptsch, Jildau Bouwman, et al.
Medrxiv : the Preprint Server for Health Sciences
|
March 22, 2023
Microbiome Preterm Birth DREAM Challenge: Crowdsourcing Machine Learning Approaches to Advance Preterm Birth Research
Jonathan L Golob, Tomiko T Oskotsky, Alice S Tang, et al.
Cell Reports. Medicine
|
December 22, 2023
Microbiome preterm birth DREAM challenge: Crowdsourcing machine learning approaches to advance preterm birth research
Jonathan L Golob, Tomiko T Oskotsky, Alice S Tang, et al.
Page
of 28