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Analyzing DNA methy...
Analyzing DNA methylation patterns in Schizophrenic patients using machine learning methods
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- Torabi Moghadam, Behrooz (author)
- Uppsala universitet,Institutionen för cell- och molekylärbiologi,Computational Biology and Bioinformatics
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- Etemadikhah, Mitra (author)
- Uppsala universitet,Institutionen för immunologi, genetik och patologi,Medical Genetics and Genomics
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- Rajkova, Grazyna (author)
- Department of Psychiatry and Human Behavior, University of Mississippi Medical Center, Jackson, MS, USA
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- Stockmeier, Craig (author)
- Department of Psychiatry and Human Behavior, University of Mississippi Medical Center, Jackson, MS, USA
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- Grabherr, Manfred (author)
- Uppsala universitet,Institutionen för medicinsk biokemi och mikrobiologi,Genomics
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- Komorowski, Jan (author)
- Uppsala universitet,Institutionen för cell- och molekylärbiologi,Computational Biology and Bioinformatics
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- Lindholm Carlström, Eva (author)
- Uppsala universitet,Institutionen för immunologi, genetik och patologi
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- Feuk, Lars (author)
- Uppsala universitet,Institutionen för immunologi, genetik och patologi
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(creator_code:org_t)
- English.
- Related links:
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https://urn.kb.se/re...
Abstract
Subject headings
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- Schizophrenia is common mental disorder with known genetic component involved. Since the association of environmental factors and schizophrenia has been reported, we analyzed a cohort of 75 schizophrenic and 50 control samples to investigate DNA methylation patterns, as one of the key players of epigenetic gene regulation.Here we applied machine-learning and visualization methods, which were shown previously to be successful in detecting and highlighting differentially methylated patterns between cases and controls. On this data set, however, these methods did not uncover any signal discerning schizophrenia patients and healthy controls, suggesting that if a link exists, it is heterogeneous and complex.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Bioinformatik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Bioinformatics (hsv//eng)
Publication and Content Type
- vet (subject category)
- art (subject category)
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