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Machine Learning in Computational Biology (MLCB) 2014 @ Montreal — MLCBA workshop at the Annual Conference on Neural Information Processing Systems (NIPS 2014) @ Montreal, Date: Saturday Dec 13, Room: TBD
http://www.mlcb.org/
A workshop at the Annual Conference on Neural Information Processing Systems (NIPS 2014) @ Montreal, Date: Saturday Dec 13, Room: TBD
http://www.mlcb.org/
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Machine Learning in Computational Biology (MLCB) 2014 @ Montreal — MLCB | mlcb.org Reviews
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A workshop at the Annual Conference on Neural Information Processing Systems (NIPS 2014) @ Montreal, Date: Saturday Dec 13, Room: TBD
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News — MLCB
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Only in current section. Cookies are not enabled. You must enable cookies before you can log in. The workshop proposal has been accepted. The pages for the 2006 workshop have moved. The workshop proposal has been accepted. BMC Special Issue on "New Problems and Methods in Computational Biology" is published. The workshop program is now available. We have 8 invited speakers, 10 full and 5 short talks. Call for Contributions: 1st of November 9am EST. Call for Contributions: 1st of November 9am EST.
MLCB
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MLCB
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Only in current section. An overview of the available content on this site. Keep the pointer still over an item for a few seconds to get its description. MLCB 2011 - Call for contribution. CMS — Open Source Content Management System. 2000-2016 by the Plone Foundation. And the Plone logo are registered trademarks of the Plone Foundation. Distributed under the GNU GPL license.
Previous Workshops — MLCB
http://www.mlcb.org/nipscompbio/previous
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Talks & Posters - Chloé-Agathe Azencott
http://cazencott.info/index.php/pages/Talks
Researcher at the Centre for Computational Biology (CBIO) of Mines ParisTech, Institut Curie and INSERM. All the presentation materials on this page are shared under a CC BY-NC 4.0. If you're interested in .tex or .odt sources (for slides), just ask. June 15, 2016. Benefits of using scikit-learn for a machine learning researcher and instructor. May 21, 2016. Beware of circularity: A critical assessment of the state of the art in deleteriousness prediction of missense variants. On June 1st, 2016. Reaching...
Publications - Chloé-Agathe Azencott
http://cazencott.info/index.php/pages/Publications
Researcher at the Centre for Computational Biology (CBIO) of Mines ParisTech, Institut Curie and INSERM. Eduati F, Mangravite LM, Wang T, Tang H, Bare JC, Huang R, Norman T, Kellen M, Menden MP, Yang J, Zhan X, Zhong R, Xiao G, Xia M, Abdo N, Kosyk O; NIEHS-NCATS-UNC DREAM Toxicogenetics Collaboration. Prediction of human population responses to toxic compounds by a collaborative competition. 33(9): 933 940 doi: 10.1038/nbt.3299. Doi: 10.1002/humu.22768. Open Access) [ pdf. Matthew A. Kayala, Chloé-A...
Publications – Data Science Laboratory
http://data.snu.ac.kr/index.php/publications
Selected Papers (2012 ). Selected Papers (2004 2011). Selected Papers (2012 ). Selected Papers (2004 2011). Selected Papers (2012 ). Selected Papers (2004 2011). Selected Papers (2012 ). Deep Learning in Bioinformatics. Seonwoo Min, Byunghan Lee, and Sungroh Yoon,. Machine Learning-Based Identification of Endogenous Cellular microRNA Sponges against Viral microRNAs. Soowon Kang, Seunghyun Park, Sungroh Yoon, and Hyeyoung Min,. Yongkweon Jeon, Jaeyoon Yoo, Jongsun Lee, and Sungroh Yoon,. Development and E...
Software - Lee Lab
http://suinlee.cs.washington.edu/software
536 Paul Allen Center. Suinlee AT uw.edu. Research Group of Prof. Su-In Lee. CSE 527 Computational Biology. GENOME 560 Statistics for Genome Scientists. Learning Sparse Gaussian Graphical Models with Overlapping Blocks. Neural Information Processing Systems (NIPS) 2016. Afiye Celik, Benjamin A. Logsdon, Stephanie Battle, Charles W. Drescher, Mara H. Rendi, David R. Hawkins, and. 2016 Jun 10;8(1):66. Maxim Grechkin, Benjamin A. Logsdon, Andrew J. Gentles, and. Identifying Network Perturbation in Cancer.
Publications – Data Science Laboratory
http://nzin.snu.ac.kr/index.php/publications
Selected Papers (2012 ). Selected Papers (2004 2011). Selected Papers (2012 ). Selected Papers (2004 2011). Selected Papers (2012 ). Selected Papers (2004 2011). Selected Papers (2012 ). Deep Learning in Bioinformatics. Seonwoo Min, Byunghan Lee, and Sungroh Yoon,. An Effective Pre-Store/Pre-Load Method Exploiting Intra-Request Idle Time of NAND Flash-Based Storage Devices. Jin-Young Kim, Tae-Hee You, Hyeokjun Seo, Sungroh Yoon, Jean-Luc Gaudiot, Eui-Young Chung,. 12(1): e0168917, January 2017. Jaekoo Le...
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Machine Learning in Computational Biology (MLCB) 2014 @ Montreal — MLCB
Only in current section. Cookies are not enabled. You must enable cookies before you can log in. Machine Learning in Computational Biology (MLCB) 2014 @ Montreal. A workshop at the Annual Conference on Neural Information Processing Systems (NIPS 2014) @ Montreal, Date: Saturday Dec 13, Room: TBD. Deadline extended: submission due Oct 23, 2014, 11:59pm (time zone of your choice). Submission deadline: Oct 22, 2014, 11:59pm (time zone of your choice). Decision notifications: Nov 4, 2014 (tentative). Inferri...
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