GithubHelp home page GithubHelp logo

stanstrup / predret Goto Github PK

View Code? Open in Web Editor NEW
9.0 9.0 6.0 18.83 MB

Shiny app for retention time prediction

License: GNU General Public License v2.0

R 21.27% JavaScript 67.76% CSS 2.45% PostScript 0.01% Batchfile 0.01% HTML 8.40% Makefile 0.09% Rebol 0.01%
metabolomics

predret's People

Contributors

sneumann avatar stanstrup avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  avatar  avatar

predret's Issues

separate RP and HILIC systems.

column type:

  • RP
  • HILIC
  • Ion-exchange liquid chromatography (IELC)
  • ion-pairing liquid chromatography (IPLC)



Mobile phase pH:

  • acidic
  • alkaline
  • neutral



Mobile phase additive:

  • Trifluoroacetic acid
  • Formic acid
  • Acetic acid
  • Propionic acid
  • Citrate
  • Ammonium formate
  • Ammonium acetate
  • Ammonium bicarbonate
  • Ammonium hydroxide
  • Triethylamine

Also add stats matrix showing how many of each exist in the database: column type vs. additive.

User app too slow

Seems it is loading too much info at startup somewhere. Need to be fixed. Takes too long to start the first time.

Ignore suspect values

Don't use values with higher than ??? error compared to general fit for prediction.

better model statistics

right now the statistics are based on the points used for the regression. That means that areas with few points count as much/little as points in areas with many points.
This is unfair as the points in scarcely populated areas often have large CI widths and new predictions in a random place will be affected mroe by this one point than any one point in populated areas.

Possible solution1:
weight the CIs by the width between the two points in each side.

Possible solution 2:
Make predictions with the models using many mono-spaced points to get unbiased CIs.

system templates

And in "Add or modify system " you could allow "select existing system" from somebody else, so I would use that as a template

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.