Giter Site home page Giter Site logo

genetic-evidence-approval's People

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

genetic-evidence-approval's Issues

target_indication.tsv: First Added column documentation

target_indication.tsv includes a First.Added column. Here's the first rows for context:

MSH ensembl_id lApprovedUS.EU Phase.Latest First.Added Inactive symbol
Abortion, Spontaneous ENSG00000119535 FALSE unknown NA TRUE CSF3R
Acidosis ENSG00000151617 FALSE Phase I Clinical Trial 2012-10-27 FALSE EDNRA
Acne Vulgaris ENSG00000012779 FALSE Phase II Clinical Trial NA TRUE ALOX5
Acne Vulgaris ENSG00000026508 FALSE Approved NA FALSE CD44
Acne Vulgaris ENSG00000057252 FALSE unknown 2009-07-01 TRUE SOAT1

The README documents this as:

First Added = earliest added date for any drug with this target and indication.

Is this the same metric that the manuscript refers to as "Earliest date in the Pharmaprojects event history" or "first recorded drug event"? This was my initial understanding, but the readme makes it sounds like First.Added might be when the Pharmaprojects drug record was created rather than when the first event for a drug is dated.

BTW thanks for the documentation and code & data sharing that accompanying this study!

Mapping Informa target families to GO terms

Hello, thank you for sharing this codebase!

In attempting to understand the derivation of certain variables used in the stan model, I came across this description of the process for generating target family indicator fields (in supplement 5):

GO Annotation Previous work has shown differences in success probability among target classes (e.g. kinases and GPCR) [6]. Pharmaprojects provides functional annotations which seemed to be predictive of success, but were not available for all targets. We translated these annotations to Gene Ontology (GO) [1][2] terms when possible, found all descendants of these terms using the goatools Python module [4], and then annotated each gene target with a term if it was annotated with that term or a descendant term. GO term annotations were obtained using biomaRt [7]. S21 Fig shows variation in approval and GWAS links by target class.

Is the mapping of PharmaProjects target annotations to GO terms used for this available anywhere?

Thanks.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.