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Course Info | CSE 590C is a weekly seminar on Readings and Research in Computational Biology, open to all
graduate students in computational, biological, and mathematical sciences.
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Schedule |
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Papers, etc. |
The UW Library is generally a paid subscriber to non-open-access journals we cite. You can freely access these
articles from on-campus computers. For off-campus access, follow the "[offcampus]" links below or look at the
library "proxy server" instructions. You will be
prompted for your UW net ID and password.
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1. Alipanahi, Babak, Andrew Delong, Matthew T. Weirauch, and Brendan J. Frey. ``Predicting the Sequence Specificities of DNA- and RNA-Binding Proteins by Deep Learning.'' Nature Biotechnology 33, no. 8 (August 2015): 831--38. doi:10.1038/nbt.3300. http://www.nature.com/nbt/journal/v33/n8/full/nbt.3300.html [offcampus]
2. Zhang, Sai, Jingtian Zhou, Hailin Hu, Haipeng Gong, Ligong Chen, Chao Cheng, and Jianyang Zeng. ``A Deep Learning Framework for Modeling Structural Features of RNA-Binding Protein Targets.'' Nucleic Acids Research, October 13, 2015, gkv1025. doi:10.1093/nar/gkv1025. http://nar.oxfordjournals.org/content/early/2015/10/13/nar.gkv1025 [offcampus]
5. Deep learning of the tissue-regulated splicing code. Leung MK, Xiong HY, Lee LJ, Frey BJ. Bioinformatics. 2014 Jun 15;30(12):i121-9. doi: 10.1093/bioinformatics/btu277.
7. Predicting backbone C-alpha angles and dihedrals from protein sequences by stacked sparse auto-encoder deep neural network. Lyons J, Dehzangi A, Heffernan R, Sharma A, Paliwal K, Sattar A, Zhou Y, Yang Y. J Comput Chem. 2014 Oct 30;35(28):2040-6. doi: 10.1002/jcc.23718. Epub 2014 Sep 12. https://maxwell.ict.griffith.edu.au/spl/publications/papers/jcc14_lyons.pdf [offcampus]
CSE's Computational Molecular Biology research group
Interdisciplinary Ph.D. program in Computational Molecular Biology
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Computer Science & Engineering University of Washington Box 352350 Seattle, WA 98195-2350 (206) 543-1695 voice, (206) 543-2969 FAX |