Posts Tagged ‘teaching’

UCI-CCBS: Big Data Image Processing & Analysis Workshop Course–UC Irvine (please share)

Tuesday, June 26th, 2018

UC Irvine’s Center for Complex Biological Systems is pleased to announce the annual short course in Big Data Image Processing & Analysis (BigDIPA), September 17-21, 2018.

This 1-week workshop course is geared towards graduate students, postdocs, faculty and industry professionals with research interests in navigating, manipulating and extracting information from “Big Data” image sources. The course is designed to cover the complete “vertical integration” of the image data to knowledge pipeline.

The course will provide a mix of strategies for dealing with biological/biomedical big data image sources, using examples of image analyses drawn from advanced cell fluorescence microscopy techniques and neurobiology to highlight fundamental concepts and skills. Processing and analysis techniques will be generalizable and relevant to other model systems and biomedical input data sources.

For more information and to apply please visit: http://bigdipa.ccbs.uci.edu

Comparing Classifiers · Martin Thoma

Thursday, June 7th, 2018

Great talk today @Yale by @MooreJH. He describes flow of calculations in biomed. #DataScience, including feature construction, machine learning & downstream interpretation.

Great slide on ML derived from
https://martin-thoma.com/comparing-classifiers

Points of significance: Machine learning: supervised methods

Sunday, March 4th, 2018

Points of significance – #MachineLearning: supervised methods https://www.Nature.com/articles/nmeth.4551 Nice discussion of the k in k-NN & the slack parm. C, penalizing misclassified points in SVM — both which act somewhat analogously as regularizers. Good for #teaching

evo-devo

Sunday, December 24th, 2017

Great #movie introducing Evo-Devo by @AcapellaScience
https://www.YouTube.com/watch?v=ydqReeTV_vk Lots of complex concepts (cis-reg elements to gradients & patterning) summarized in seconds via @hoondy

Naive Bayes Classification explained with Python code

Tuesday, May 16th, 2017

Naive #Bayes Classification explained with Python code
http://www.DataScienceCentral.com/profiles/blogs/naive-bayes-classification-explained-with-python-code Nice worked example; good for #teaching HT @KirkDBorne

Harvard is putting its photography classes online for free

Sunday, January 15th, 2017

http://www.konbini.com/us/inspiration/harvard-photography-classes-online-for-free/

Sunday Puzzler: Rock the Boat http://www.slate.com/blogs/bad_astronomy/2016/06/26/if_you_throw_a_rock_off_a_boat_does_the_water_go_up_or_down.html

Thursday, August 4th, 2016

Puzzler: Rock the Boat
http://www.slate.com/blogs/bad_astronomy/2016/06/26/if_you_throw_a_rock_off_a_boat_does_the_water_go_up_or_down.html Good illustration of Archimedes’ principle & using extreme cases for intuition, ie dense rock

Visualization of Statistical Power Analysis

Thursday, July 28th, 2016

Visualization of Power Analysis http://amarder.GITHUB.io/power-analysis/ Useful sliders giving one a feel of the #statistics

How does multiple testing correction work?

Monday, June 13th, 2016

How does multiple-testing correction work
http://www.nature.com/nbt/journal/v27/n12/abs/nbt1209-1135.html Intuition for teaching: genome-wide error rate on a single gene v family

The role of regulatory variation in complex traits and disease : Nature Reviews Genetics : Nature Publishing Group

Sunday, June 12th, 2016

Reg. variation in cplx traits by @LeonidKruglyak
http://www.nature.com/nrg/journal/v16/n4/full/nrg3891.html nice teaching figure for #eQTLs, showing how mostly cis + hotspots http://www.nature.com/nrg/journal/v16/n4/full/nrg3891.html