Posts Tagged ‘x57l’

My Notes Related to the NHGRI strategic planning meeting

Wednesday, January 30th, 2019

MAIN event page–genomic-variation-identification-association-and-function-in-human-health-and-disease

TWEETS related to the event

Archived copy of the above in the labdropbox

Liked-Tweets-Related-NHGRI-strategic-planning-meeting–i0g2p18-genome2020-conf0mg in labdropbox


TAGGED links

My Notes Related to CBC Twins DNA testing (csquare)

Wednesday, January 30th, 2019

TWEETS related to the event

Archived copy of the above in the labdropbox



(NB sub-tags & categories include: x78qtcore, x78notcore, x78qt, movie )

CACHED copies of videos (use “x” subdir in the above path)

Free Rocketbook Pages

Monday, December 31st, 2018

if “I don’t want to erase the pages. But I like the input system.”

Flexible statistical methods for estimating and testing effects in genomic studies with multiple conditions

Wednesday, December 26th, 2018

seems to be better for eQTLs

Todo.txt: Future-proof task tracking in a file you control

Saturday, December 15th, 2018

Pandoc – About pandoc

Sunday, December 2nd, 2018
appears to convert markdown, DOCX, latex & HTML


Monday, November 26th, 2018

Biological Data Science ’18


FAVORITE TWEETS (private)–i0biodata18-biodata18.xlsx–Favorite-tweets-from-Biological-Data-Science-2018–i0biodata18-biodata18.pdf


Why “Many-Model Thinkers” Make Better Decisions

Saturday, November 24th, 2018

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

“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

Saturday, November 3rd, 2018

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

Saturday, November 3rd, 2018

Dynamic…Environmental #Exposome Revealed by
Longitudinal…Monitoring, by @SnyderShot lab QT: “Developed…method to monitor personal airborne biological & chem. exposures & followed…15 individuals for up to 890 days & >66… locations.”