Kbmtl
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Bayesian | 672 | 25 | 17 | 3 years ago | December 02, 2011 | 8 | other | Go | ||
| Naive Bayesian Classification for Golang. | ||||||||||
| Classifier | 645 |  | 7,171 | 52 | 2 years ago | 10 | April 17, 2018 | 19 | other | Ruby |
| A general classifier module to allow Bayesian and other types of classifications. | ||||||||||
| Classifier Reborn | 531 |  | 11,780 | 7 | 6 months ago | 9 | December 15, 2017 | 26 | lgpl-2.1 | Ruby |
| A general classifier module to allow Bayesian and other types of classifications. A fork of cardmagic/classifier. | ||||||||||
| Bayes_motel | 188 | 4 years ago | 1 | mit | Ruby | |||||
| Multi-variate Bayesian classification engine | ||||||||||
| Dl With Bayes | 158 | 3 years ago | 2 | Python | ||||||
| Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles" | ||||||||||
| Gpstuff | 144 | 3 months ago | 7 | gpl-3.0 | MATLAB | |||||
| GPstuff - Gaussian process models for Bayesian analysis | ||||||||||
| Bankclassify | 101 | 9 months ago | Python | |||||||
| Simple example of using a Naive Bayesian classification to classify entries in bank statements | ||||||||||
| Php Classifier | 77 | 1 | 10 years ago | 3 | January 12, 2013 | mit | PHP | |||
| A Naive Bayesian classification library for PHP with support for different tokenizers to optimize string classification. | ||||||||||
| Multibayes | 74 | 1 | 1 | 5 years ago | May 30, 2021 | 2 | Go | |||
| Multiclass Naive Bayesian Classification | ||||||||||
| Bayesianml | 55 | 4 years ago | 1 | Jupyter Notebook | ||||||
| Experiments in Bayesian Machine Learning | ||||||||||
This repository contains Matlab and R implementations of the algorithms proposed in "Drug susceptibility prediction against a panel of drugs using kernelized Bayesian multitask learning", which is appearing in Bioinformatics.
demo_classification.m file shows how to use the classification algorithm in Matlab. demo_classification.R file shows how to use the classification algorithm in R. demo_regression.m file shows how to use the regression algorithm in Matlab. demo_regression.R file shows how to use the regression algorithm in R.
KBMTL methods
- kbmtl_semisupervised_classification_variational_train.m => training procedure for classification in Matlab
- kbmtl_semisupervised_classification_variational_test.m => test procedure for classification in Matlab
- kbmtl_semisupervised_classification_variational_train.R => training procedure for classification in R
- kbmtl_semisupervised_classification_variational_test.R => test procedure for classification in R
- kbmtl_semisupervised_regression_variational_train.m => training procedure for regression in Matlab
- kbmtl_semisupervised_regression_variational_test.m => test procedure for regression in Matlab
- kbmtl_semisupervised_regression_variational_train.R => training procedure for regression in R
- kbmtl_semisupervised_regression_variational_test.R => test procedure for regression in R
If you use any of the algorithms implemented in this repository, please cite the following paper:
Mehmet Gonen and Adam A. Margolin. Drug susceptibility prediction against a panel of drugs using kernelized Bayesian multitask learning. Bioinformatics, 30(17):i556-i563, 2014.
