An integrative machine learning approach to discovering multi-level molecular mechanisms of obesity using data from monozygotic twin pairs
M Kibble, SA Khan… - Royal Society …, 2020 - royalsocietypublishing.org
We combined clinical, cytokine, genomic, methylation and dietary data from 43 young adult
monozygotic twin pairs (aged 22–36 years, 53% female), where 25 of the twin pairs were …
monozygotic twin pairs (aged 22–36 years, 53% female), where 25 of the twin pairs were …
An integrative machine learning approach to discovering multi-level molecular mechanisms of obesity using data from monozygotic twin pairs
M Kibble, SA Khan, M Ammad-ud-din, S Bollepalli… - medRxiv, 2019 - medrxiv.org
We combined clinical, cytokine, genomic, methylation and dietary data from 43 young adult
monozygotic twin pairs (aged 22–36, 53% female), where 25 of the twin pairs were …
monozygotic twin pairs (aged 22–36, 53% female), where 25 of the twin pairs were …
An integrative machine learning approach to discovering multi-level molecular mechanisms of obesity using data from monozygotic twin pairs.
M Kibble, SA Khan, M Ammad-Ud-Din… - Royal Society Open …, 2020 - europepmc.org
We combined clinical, cytokine, genomic, methylation and dietary data from 43 young adult
monozygotic twin pairs (aged 22–36 years, 53% female), where 25 of the twin pairs were …
monozygotic twin pairs (aged 22–36 years, 53% female), where 25 of the twin pairs were …
An integrative machine learning approach to discovering multi-level molecular mechanisms of obesity using data from monozygotic twin pairs
M Kibble, SA Khan, M Ammad-ud-din… - Royal Society Open …, 2020 - ui.adsabs.harvard.edu
We combined clinical, cytokine, genomic, methylation and dietary data from 43 young adult
monozygotic twin pairs (aged 22-36 years, 53% female), where 25 of the twin pairs were …
monozygotic twin pairs (aged 22-36 years, 53% female), where 25 of the twin pairs were …
[PDF][PDF] An integrative machine learning approach to discovering multi-level molecular mechanisms of obesity using data from monozygotic twin pairs
M Kibble - 2020 - researchportal.helsinki.fi
Worldwide, obesity has nearly tripled since 1975, according to the World Health
Organisation. In 2016, more than 1.9 billion adults were overweight, of whom over 650 …
Organisation. In 2016, more than 1.9 billion adults were overweight, of whom over 650 …
An integrative machine learning approach to discovering multi-level molecular mechanisms of obesity using data from monozygotic twin pairs
M Kibble, SA Khan… - Royal Society …, 2020 - pubmed.ncbi.nlm.nih.gov
We combined clinical, cytokine, genomic, methylation and dietary data from 43 young adult
monozygotic twin pairs (aged 22-36 years, 53% female), where 25 of the twin pairs were …
monozygotic twin pairs (aged 22-36 years, 53% female), where 25 of the twin pairs were …
[HTML][HTML] An integrative machine learning approach to discovering multi-level molecular mechanisms of obesity using data from monozygotic twin pairs
M Kibble, SA Khan, S Bollepalli… - Royal Society Open …, 2020 - ncbi.nlm.nih.gov
We combined clinical, cytokine, genomic, methylation and dietary data from 43 young adult
monozygotic twin pairs (aged 22–36 years, 53% female), where 25 of the twin pairs were …
monozygotic twin pairs (aged 22–36 years, 53% female), where 25 of the twin pairs were …
[PDF][PDF] An integrative machine learning approach to discovering multi-level molecular mechanisms of obesity using data from monozygotic twin pairs
M Kibble - 2020 - helda.helsinki.fi
Worldwide, obesity has nearly tripled since 1975, according to the World Health
Organisation. In 2016, more than 1.9 billion adults were overweight, of whom over 650 …
Organisation. In 2016, more than 1.9 billion adults were overweight, of whom over 650 …
[引用][C] An integrative machine learning approach to discovering multi-level molecular mechanisms of obesity using data from monozygotic twin pairs
M Kibble, SA Khan, S Bollepalli… - Royal Society …, 2020 - researchportal.helsinki.fi
An integrative machine learning approach to discovering multi-level molecular mechanisms of
obesity using data from monozygotic twin pairs — University of Helsinki Skip to main navigation …
obesity using data from monozygotic twin pairs — University of Helsinki Skip to main navigation …
An integrative machine learning approach to discovering multi-level molecular mechanisms of obesity using data from monozygotic twin pairs
M Kibble, SA Khan, M Ammad-ud-din, S Bollepalli… - 2019 - europepmc.org
We combined clinical, cytokine, genomic, methylation and dietary data from 43 young adult
monozygotic twin pairs (aged 22–36, 53% female), where 25 of the twin pairs were …
monozygotic twin pairs (aged 22–36, 53% female), where 25 of the twin pairs were …