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  Weighted Elastic Net for Unsupervised Domain Adaptation with Application to Age Prediction from DNA Methylation Data

Handl, L., Jalali, A., Scherer, M., Eggeling, R., & Pfeifer, N. (2019). Weighted Elastic Net for Unsupervised Domain Adaptation with Application to Age Prediction from DNA Methylation Data. Bioinformatics, 35(14), i154-i163. doi:10.1093/bioinformatics/btz338.

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Genre: Journal Article
Latex : Weighted Elastic Net for Unsupervised Domain Adaptation with Application to Age Prediction from {DNA} Methylation Data

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© The Author(s) 2019. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

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 Creators:
Handl, Lisa1, Author           
Jalali, Adrin1, Author           
Scherer, Michael1, Author           
Eggeling, Ralf2, Author
Pfeifer, Nico1, Author           
Affiliations:
1Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society, ou_40046              
2External Organizations, ou_persistent22              

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Language(s): eng - English
 Dates: 20192019
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1093/bioinformatics/btz338
BibTex Citekey: Handl2019
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Title: Bioinformatics
Source Genre: Journal
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Publ. Info: Oxford : Oxford University Press
Pages: - Volume / Issue: 35 (14) Sequence Number: - Start / End Page: i154 - i163 Identifier: ISSN: 1367-4803
CoNE: https://pure.mpg.de/cone/journals/resource/954926969991

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Title: ISMB/ECCB 2019 Proceedings
  Abbreviation : ISMB/ECCB 2019
  Subtitle : The biennial joint meeting of ISMB (27th Annual Conference on Intelligent Systems for Molecular Biology) and ECCB (18th European Conference on Computational Biology) ; Basel, Switzerland, July 21–25, 2019.
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: -