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Posts Tagged ‘x57l’
Pandoc – About pandoc
December 1, 2018BioData18
November 25, 2018Biological Data Science ’18
https://meetings.cshl.edu/meetings.aspx?meet=DATA&year=18
FAVORITE TWEETS (public)
FAVORITE TWEETS (private)
SLIDE PICS
http://meetings.gersteinlab.org/2018/11.17/MG-Pics-from-i0biodata18-incl-many-slides/
Why “Many-Model Thinkers” Make Better Decisions
November 23, 2018Why “Many-Model Thinkers” Make Better Decisions
https://HBR.org/2018/11/why-many-model-thinkers-make-better-decisions Intuitive description of #MachineLearning concepts. Focuses on practical business contexts (eg hiring) & explains how #ensemble models & boosting can make better choices
QT:{{”
“The agent based model is not necessarily better. It’s value comes from focusing attention where the standard model does not.
The second guideline borrows the concept of boosting, …Rather than look for trees that predict with high accuracy in isolation, boosting looks for trees that perform well when the forest of current trees does not.
…
A boosting approach would take data from all past decisions and see where the first model failed. …The idea of boosting is to go searching for models that do best specifically when your other models fail.
…
To give a second example, several firms I have visited have hired computer scientists to apply techniques from artificial intelligence to identify past hiring mistakes. This is boosting in its purest form. Rather than try to use AI to simply beat their current hiring model, they use AI to build a second model that complements their current hiring model. They look for where their current model fails and build new models to complement it.”
“}}
How to identify anonymous prose – Johnson
November 3, 2018How to identify anonymous prose
http://Economist.com/books-and-arts/2018/09/22/how-to-identify-anonymous-prose Interesting parallels between #textmining & genome seq. analysis (eg finding characteristic k-mers for a bacterial species)
Dynamic Human Environmental Exposome Revealed by Longitudinal Personal Monitoring: Cell
November 3, 2018Dynamic…Environmental #Exposome Revealed by
Longitudinal…Monitoring, by @SnyderShot lab
https://www.Cell.com/cell/fulltext/S0092-8674(18)31121-8 QT: “Developed…method to monitor personal airborne biological & chem. exposures & followed…15 individuals for up to 890 days & >66… locations.”
https://www.cell.com/cell/pdf/S0092-8674(18)31121-8.pdf
Sigma Xi Conference this Week
October 30, 2018My notes from the Sigma Xi Conference
LECTURES
TWEETS
Favorited-Tweets-from-i0sigma-meeting.xlsx
http://meetings.gersteinlab.org/2018/10.30/Favorited-Tweets-from-i0sigma-meeting.xlsx
http://meetings.gersteinlab.org/2018/10.30/printout-of-liked-tweets-from-i0sigma.pdf
LINKS
https://linkstream2.gerstein.info/tag/i0sigma/
OTHER
Slides (Private)
DB: Sorting files in chronological order of creation–not by modified
October 11, 2018Dropbox does not currently have a feature to sort files via chronological order.
We can see all of your files if you go to the following link: http://www.dropbox.com/events
Calendar adjustments and course demand
September 3, 2018course stats
https://ivy.yale.edu/course-stats/
via
https://courses.yale.edu/
specifically, for 752:
genome-wide starr-seq + sources of experimental bias
August 12, 2018quite relevant
https://www.nature.com/articles/nmeth.4534
Resolving systematic errors in widely used enhancer activity assays in human cells
Felix Muerdter
, Łukasz M Boryń
, Ashley R Woodfin
, Christoph Neumayr
, Martina Rath
, Muhammad A Zabidi
, Michaela Pagani
, Vanja Haberle
, Tomáš Kazmar
, Rui R Catarino
, Katharina Schernhuber
, Cosmas D Arnold
& Alexander Stark
Nature Methods volume 15, pages141–149 (2018)
linkstream2 microblog 