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start – Machine Learning and Bioinformatics Lab

Machine Learning and Bioinformatics Lab. CBCL Lab @ UCI. Welcome to the lab for Machine Learning and Bioinformatics at School of Information and Computer Sciences. Of University of California, Irvine. Our lab studies a broad range of problems in machine learning and computational biology/bioinformatics. We are interested in both developing machine learning methods and applying these methods to study problems from biology, computer vision and NLP.

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start – Machine Learning and Bioinformatics Lab | cbcl.ics.uci.edu Reviews

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Machine Learning and Bioinformatics Lab. CBCL Lab @ UCI. Welcome to the lab for Machine Learning and Bioinformatics at School of Information and Computer Sciences. Of University of California, Irvine. Our lab studies a broad range of problems in machine learning and computational biology/bioinformatics. We are interested in both developing machine learning methods and applying these methods to study problems from biology, computer vision and NLP.

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start – Machine Learning and Bioinformatics Lab | cbcl.ics.uci.edu Reviews

https://cbcl.ics.uci.edu

Machine Learning and Bioinformatics Lab. CBCL Lab @ UCI. Welcome to the lab for Machine Learning and Bioinformatics at School of Information and Computer Sciences. Of University of California, Irvine. Our lab studies a broad range of problems in machine learning and computational biology/bioinformatics. We are interested in both developing machine learning methods and applying these methods to study problems from biology, computer vision and NLP.

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people – Computational Biology and Computational Learning -- CBCL

https://cbcl.ics.uci.edu/doku.php/people

Computational Biology and Computational Learning - CBCL. CBCL Lab @ UCI. Daniel Newkirk, PhD Student. Elmira Forouzmand, PhD Student. Scott Vang, MS Student. Wentao Zhu, PhD Student. Yi Li, PhD Student. Daniel Quang, PhD Student. Jake Biesinger, PhD Student, graduated in 2014 (first placement of employment: Google). Yifei Chen, PhD Student, graduated in 2014 (first placement of employment: Baidu). Lingjie Weng, PhD Student, graduated in 2014 (first placement of employment: LinkedIn).

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software – Computational Biology and Computational Learning -- CBCL

https://cbcl.ics.uci.edu/doku.php/software

Computational Biology and Computational Learning - CBCL. CBCL Lab @ UCI. Most software published by our group is also available on github.com/uci-cbcl. Hobbes is a tool for very fast, very accurate short-read sequence alignment. Hobbes has its own homepage. Parallel genome assembly using Hyracks, available at https:/ github.com/uci-cbcl/genomix. PyLOH is a tool for discovering copy number variations in cancer genomes. PyLOH is available at https:/ github.com/uci-cbcl/PyLOH. Site-specific phylogenetic ana...

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teaching – Computational Biology and Computational Learning -- CBCL

https://cbcl.ics.uci.edu/doku.php/teaching

Computational Biology and Computational Learning - CBCL. CBCL Lab @ UCI. ICS 6N Computational Linear Algebra, Spring, 2015. CS 206 Principles of Scientific Computing, Spring, 2015. CS206 Principles of Scientific Computing, Spring, 2014. Math 227C/CS 285 Stochastic differential equations, Spring, 2014. CS284A/184A Representations and Algorithms for Molecular biology, Fall, 2013. CS 206 Principles of Scientific Computing , Spring, 2013. CS190/295: Programmng in Python for Life Sciences , Winter, 2012.

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publications – Computational Biology and Computational Learning -- CBCL

https://cbcl.ics.uci.edu/doku.php/publications

Computational Biology and Computational Learning - CBCL. CBCL Lab @ UCI. Developmentally regulated long non-coding RNAs in Xenopus tropicalis. Developmental Biology, 2016. Gene expression inference with deep learning. Chen Y, Li Y, Narayan R, Subramanian A, and Xie X. DanQ: a hybrid convolutional and recurrent deep neural network for quantifying the function of DNA sequences. Quang D and Xie X. Nucleic Acids Research, 2016. Weng L, Li Y, Xie X, and Shi Y. Zhu W, et al. Kim J, Chen L, and Xie X. Neuroimag...

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data – Computational Biology and Computational Learning -- CBCL

https://cbcl.ics.uci.edu/doku.php/data

Computational Biology and Computational Learning - CBCL. CBCL Lab @ UCI. Tree-hmm sample .bam's from chr19. The raw data can be found here http:/ krishna.gs.washington.edu/martin/download/cadd training/. The real SNV, insertion and deletion samples sum up to 16,627,775. We randomly sample equal number of simutation samples (SNV, insertion and deletion), combine with the real data, and get a dataset of 33,255,550 samples. Tree-hmm sample .bam's from chr19. PNAS 2009 106:13765-13769; Young-Kyo Seo, Hansook...

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start – Machine Learning and Bioinformatics Lab

Machine Learning and Bioinformatics Lab. CBCL Lab @ UCI. Welcome to the lab for Machine Learning and Bioinformatics at School of Information and Computer Sciences. Of University of California, Irvine. Our lab studies a broad range of problems in machine learning and computational biology/bioinformatics. We are interested in both developing machine learning methods and applying these methods to study problems from biology, computer vision and NLP.

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The Center for Biological and Computational Learning (CBCL) at MIT. CBCL was based in the Department of Brain and Cognitive Sciences. At MIT and associated with the McGovern Institute for Brain Research. And with the Computer Science and Artificial Intelligence Laboratory. CSAIL). CBCL was hosting the Laboratory for Computational and Statistical Learning,. A joint lab between the Istituto Italiano di Tecnologia. Restricted to CBCL Members. Some of the corporations and foundations which have supported or ...

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