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X-WR-CALDESC:Events for Institute for Quantitative and Computational Biosciences
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DTSTART;TZID=America/Los_Angeles:20190213T090000
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DTSTAMP:20181115T002531Z
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UID:8077-1550048400-1550059200@qcb.ucla.edu
SUMMARY:Machine Learning in Python - Day Two
DESCRIPTION:Applications of Machine Learning can be used to analyze biological data without the need of advanced programming skills. For example\, Machine Learning techniques can be used to construct predictive models based on a set of training examples\, to remove noise and spurious artifacts from data (e.g. photobleaching)\, or to help visualize trends within high dimensional datasets\, etc. First\, this workshop introduces the basic principles involved in the applications mentioned above\, such as pattern recognition\, linear and non-linear regression\, and cluster analysis. This workshop will be oriented towards hands-on activities\, starting from the basics of how to load and prepare biological datasets in a Python environment. By the end of this workshop\, students will be able to use Scikit-Learn’s documentation (and other libraries) to build models based on their own data\, assess their performance\, and make new predictions. Although no advanced knowledge will be assumed\, students are encouraged to attend to the Advanced Python and Modern Statistics workshops.
URL:https://qcb.ucla.edu/event/machine-learning-in-python-day-two-2/
LOCATION:The Collaboratory\, 610 Charles E Young Drive East - BOYER HALL ROOM 529\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:Interactive Workshop
ATTACH;FMTTYPE=image/png:https://qcb.ucla.edu/wp-content/uploads/sites/14/2018/11/W19-11-Machine-Learning.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
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DTSTART;TZID=America/Los_Angeles:20190213T133000
DTEND;TZID=America/Los_Angeles:20190213T153000
DTSTAMP:20181115T002432Z
CREATED:20181108T195404Z
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UID:8080-1550064600-1550071800@qcb.ucla.edu
SUMMARY:Metagenomics Analysis - Day Two
DESCRIPTION:This workshop provides an introduction to the microbiome analyses from the raw sequence data generated from the next-generation sequencing platforms. We will cover how to perform the 16S rRNA-based analysis using an open-source bioinformatics pipeline QIIME. We will also cover some downstream analyses of the microbiome data beyond QIIME\, including statistical analyses and functional analyses.
URL:https://qcb.ucla.edu/event/metagenomics-analysis-day-two/
LOCATION:The Collaboratory\, 610 Charles E Young Drive East - BOYER HALL ROOM 529\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:Interactive Workshop
ATTACH;FMTTYPE=image/png:https://qcb.ucla.edu/wp-content/uploads/sites/14/2018/11/W19-12-Metagenomics.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
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