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X-WR-CALNAME:Institute for Quantitative and Computational Biosciences
X-ORIGINAL-URL:https://qcb.ucla.edu
X-WR-CALDESC:Events for Institute for Quantitative and Computational Biosciences
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DTSTART;TZID=America/Los_Angeles:20190122T090000
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DTSTAMP:20181115T003023Z
CREATED:20181108T195344Z
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UID:8059-1548147600-1548158400@qcb.ucla.edu
SUMMARY:Introduction to R - Day One
DESCRIPTION:R (www.r-project.org) is a free software environment for statistical computing and graphics. First\, this workshop introduces basic concepts\, syntax\, and usage in R programming\, statistical analysis\, and visualization techniques. We will conduct hands-on tutorials throughout the session\, giving attendees a chance to see R in action. This workshop is geared toward those with little or no prior experience with R. Next\, this workshop covers an introduction to Bioconductor (www.bioconductor.org)\, which provides tools for the analysis of high throughput genomic data. If you are interested in any particular R/Bioconductor topic\, please contact the instructor in advance; effort will be made to cover topics of general interest.
URL:https://qcb.ucla.edu/event/introduction-to-r-day-one-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/W19-05-Intro-to-R.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
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DTSTART;TZID=America/Los_Angeles:20190122T130000
DTEND;TZID=America/Los_Angeles:20190122T153000
DTSTAMP:20181115T002952Z
CREATED:20181108T195347Z
LAST-MODIFIED:20181115T002952Z
UID:8062-1548162000-1548171000@qcb.ucla.edu
SUMMARY:Introduction to Modern Statistics - Day One
DESCRIPTION:Workshop attendees will walk away knowing when and how to run modern versions of traditional statistical analysis. First\, this workshop introduces tests and underlying bioinformatical lessons about resampling which are useful to most scientific disciplines. This workshop makes no assumptions about familiarity with traditional statistics; we will simply go through relatable experimental examples and ask how to test various hypotheses\, introducing the relevant methods along the way. Next\, this workshop covers how to best deal with common questions in experimental analysis: What tests can be applied to small sample sizes? When can one assume linearity in the data? What to do with non-Gaussian data / residuals? How does one best detect and justify removing outliers? Which estimators are appropriate with highly non-continuous samples?
URL:https://qcb.ucla.edu/event/introduction-to-modern-statistics-day-one-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/W19-06-Modern-Stats.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
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