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Table S3 from An integrative machine learning approach to discovering multi-level molecular mechanisms of obesity using data from monozygotic twin pairs
Table S3 from An integrative machine learning approach to discovering multi-level molecular mechanisms of obesity using data from monozygotic twin pairs
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Table S3 from An integrative machine learning approach to discovering multi-level molecular mechanisms of obesity using data from monozygotic twin pairs

Kibble, Milla ; Khan, Suleiman A. ; Ammad-Ud-Din, Muhammad ; Bollepalli, Sailalitha ; Palviainen, Teemu ; Kaprio, Jaakko ; Pietiläinen, Kirsi H. ; Ollikainen, Miina

The Royal Society 2020

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Table S2 from An integrative machine learning approach to discovering multi-level molecular mechanisms of obesity using data from monozygotic twin pairs
Table S2 from An integrative machine learning approach to discovering multi-level molecular mechanisms of obesity using data from monozygotic twin pairs
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Table S2 from An integrative machine learning approach to discovering multi-level molecular mechanisms of obesity using data from monozygotic twin pairs

Kibble, Milla ; Khan, Suleiman A. ; Ammad-Ud-Din, Muhammad ; Bollepalli, Sailalitha ; Palviainen, Teemu ; Kaprio, Jaakko ; Pietiläinen, Kirsi H. ; Ollikainen, Miina

The Royal Society 2020

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Table S1 from An integrative machine learning approach to discovering multi-level molecular mechanisms of obesity using data from monozygotic twin pairs
Table S1 from An integrative machine learning approach to discovering multi-level molecular mechanisms of obesity using data from monozygotic twin pairs
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Table S1 from An integrative machine learning approach to discovering multi-level molecular mechanisms of obesity using data from monozygotic twin pairs

Kibble, Milla ; Khan, Suleiman A. ; Ammad-Ud-Din, Muhammad ; Bollepalli, Sailalitha ; Palviainen, Teemu ; Kaprio, Jaakko ; Pietiläinen, Kirsi H. ; Ollikainen, Miina

The Royal Society 2020

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