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^docs$ | ||
^doc$ | ||
^Meta$ | ||
^CODE_OF_CONDUCT\.md$ | ||
^tools$ | ||
^vignettes/*\.md$ |
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Rcpp.pro | ||
Rcpp.pro.user | ||
*.autosave | ||
/doc/ | ||
/doc/*.R | ||
/doc/*.html | ||
/doc/*.Rmd | ||
/Meta/ |
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# Contributor Covenant Code of Conduct | ||
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## Our Pledge | ||
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We as members, contributors, and leaders pledge to make participation in our | ||
community a harassment-free experience for everyone, regardless of age, body | ||
size, visible or invisible disability, ethnicity, sex characteristics, gender | ||
identity and expression, level of experience, education, socio-economic status, | ||
nationality, personal appearance, race, caste, color, religion, or sexual | ||
identity and orientation. | ||
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We pledge to act and interact in ways that contribute to an open, welcoming, | ||
diverse, inclusive, and healthy community. | ||
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## Our Standards | ||
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Examples of behavior that contributes to a positive environment for our | ||
community include: | ||
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* Demonstrating empathy and kindness toward other people | ||
* Being respectful of differing opinions, viewpoints, and experiences | ||
* Giving and gracefully accepting constructive feedback | ||
* Accepting responsibility and apologizing to those affected by our mistakes, | ||
and learning from the experience | ||
* Focusing on what is best not just for us as individuals, but for the overall | ||
community | ||
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Examples of unacceptable behavior include: | ||
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* The use of sexualized language or imagery, and sexual attention or advances of | ||
any kind | ||
* Trolling, insulting or derogatory comments, and personal or political attacks | ||
* Public or private harassment | ||
* Publishing others' private information, such as a physical or email address, | ||
without their explicit permission | ||
* Other conduct which could reasonably be considered inappropriate in a | ||
professional setting | ||
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## Enforcement Responsibilities | ||
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Community leaders are responsible for clarifying and enforcing our standards of | ||
acceptable behavior and will take appropriate and fair corrective action in | ||
response to any behavior that they deem inappropriate, threatening, offensive, | ||
or harmful. | ||
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Community leaders have the right and responsibility to remove, edit, or reject | ||
comments, commits, code, wiki edits, issues, and other contributions that are | ||
not aligned to this Code of Conduct, and will communicate reasons for moderation | ||
decisions when appropriate. | ||
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## Scope | ||
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This Code of Conduct applies within all community spaces, and also applies when | ||
an individual is officially representing the community in public spaces. | ||
Examples of representing our community include using an official email address, | ||
posting via an official social media account, or acting as an appointed | ||
representative at an online or offline event. | ||
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## Enforcement | ||
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Instances of abusive, harassing, or otherwise unacceptable behavior may be | ||
reported to the community leaders responsible for enforcement at | ||
[INSERT CONTACT METHOD]. | ||
All complaints will be reviewed and investigated promptly and fairly. | ||
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All community leaders are obligated to respect the privacy and security of the | ||
reporter of any incident. | ||
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## Enforcement Guidelines | ||
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Community leaders will follow these Community Impact Guidelines in determining | ||
the consequences for any action they deem in violation of this Code of Conduct: | ||
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### 1. Correction | ||
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**Community Impact**: Use of inappropriate language or other behavior deemed | ||
unprofessional or unwelcome in the community. | ||
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**Consequence**: A private, written warning from community leaders, providing | ||
clarity around the nature of the violation and an explanation of why the | ||
behavior was inappropriate. A public apology may be requested. | ||
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### 2. Warning | ||
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**Community Impact**: A violation through a single incident or series of | ||
actions. | ||
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**Consequence**: A warning with consequences for continued behavior. No | ||
interaction with the people involved, including unsolicited interaction with | ||
those enforcing the Code of Conduct, for a specified period of time. This | ||
includes avoiding interactions in community spaces as well as external channels | ||
like social media. Violating these terms may lead to a temporary or permanent | ||
ban. | ||
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### 3. Temporary Ban | ||
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**Community Impact**: A serious violation of community standards, including | ||
sustained inappropriate behavior. | ||
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**Consequence**: A temporary ban from any sort of interaction or public | ||
communication with the community for a specified period of time. No public or | ||
private interaction with the people involved, including unsolicited interaction | ||
with those enforcing the Code of Conduct, is allowed during this period. | ||
Violating these terms may lead to a permanent ban. | ||
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### 4. Permanent Ban | ||
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**Community Impact**: Demonstrating a pattern of violation of community | ||
standards, including sustained inappropriate behavior, harassment of an | ||
individual, or aggression toward or disparagement of classes of individuals. | ||
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**Consequence**: A permanent ban from any sort of public interaction within the | ||
community. | ||
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## Attribution | ||
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This Code of Conduct is adapted from the [Contributor Covenant][homepage], | ||
version 2.1, available at | ||
[https://www.contributor-covenant.org/version/2/1/code_of_conduct.html][v2.1]. | ||
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Community Impact Guidelines were inspired by | ||
[Mozilla's code of conduct enforcement ladder][Mozilla CoC]. | ||
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For answers to common questions about this code of conduct, see the FAQ at | ||
[https://www.contributor-covenant.org/faq][FAQ]. Translations are available at | ||
[https://www.contributor-covenant.org/translations][translations]. | ||
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[homepage]: https://www.contributor-covenant.org | ||
[v2.1]: https://www.contributor-covenant.org/version/2/1/code_of_conduct.html | ||
[Mozilla CoC]: https://github.com/mozilla/diversity | ||
[FAQ]: https://www.contributor-covenant.org/faq | ||
[translations]: https://www.contributor-covenant.org/translations | ||
|
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# labyrinth v0.2.3 | ||
## labyrinth v0.2.3 | ||
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* Added `predict()` function | ||
* Added several data | ||
* Bug fix | ||
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# labyrinth v0.2.2 | ||
## labyrinth v0.2.2 | ||
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* Added multi-threaded capability | ||
* Added random walk | ||
* Bug fix | ||
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# labyrinth v0.2.1 | ||
## labyrinth v0.2.1 | ||
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* Performance improvement | ||
* Bug fix | ||
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# labyrinth v0.2.0 | ||
## labyrinth v0.2.0 | ||
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* Rewrote all codes | ||
* Dropped robust z score | ||
* Applied Eigen and MKL | ||
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# labyrinth v0.1.1 | ||
## labyrinth v0.1.1 | ||
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* Bug fix | ||
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# labyrinth v0.1.0 | ||
## labyrinth v0.1.0 | ||
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* Bug fix | ||
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# labyrinth v0.0.5 | ||
## labyrinth v0.0.5 | ||
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* Bug fix | ||
* Remove stopword file | ||
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# labyrinth v0.0.4 | ||
## labyrinth v0.0.4 | ||
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* Bug fix | ||
* Added stopword file | ||
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# labyrinth v0.0.3 | ||
## labyrinth v0.0.3 | ||
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* Bug fix | ||
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# labyrinth v0.0.2 | ||
## labyrinth v0.0.2 | ||
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* Added Windows support | ||
* Added C++ version of robust z score | ||
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# labyrinth v0.0.1 | ||
## labyrinth v0.0.1 | ||
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* Initial submission | ||
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I am currently rewriting this R package | ||
# Labyrinth | ||
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[![Current devel version: 0.2.3](https://img.shields.io/badge/devel%20version-0.2.3-blue.svg)](https://github.com/randef1ned/labyrinth) | ||
[![Project Status: WIP – Initial development is in progress, but there has not yet been a stable, usable release suitable for the public.](https://www.repostatus.org/badges/latest/wip.svg)](https://www.repostatus.org/#wip) | ||
[![License: GPL v2](https://img.shields.io/badge/License-GPL_v2-blue.svg)](https://www.gnu.org/licenses/old-licenses/gpl-2.0.en.html) | ||
[![Codacy Badge](https://app.codacy.com/project/badge/Grade/09b138b2fa9242229f081cd180f6fc91)](https://app.codacy.com/gh/randef1ned/labyrinth/dashboard?utm_source=gh&utm_medium=referral&utm_content=&utm_campaign=Badge_grade) | ||
[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg)](https://makeapullrequest.com) | ||
[![Last commit](https://img.shields.io/github/last-commit/randef1ned/labyrinth.svg)](https://github.com/randef1ned/labyrinth/commits/master) | ||
[![Code size](https://img.shields.io/github/languages/code-size/randef1ned/labyrinth.svg)](https://github.com/randef1ned/labyrinth) | ||
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Labyrinth is a human-inspired computational framework for personalized drug prioritization. | ||
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## Introduction | ||
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`labyrinth` is a computational framework designed at drug prioritization at both the population and individual levels. It integrates multiple sources of prior medical knowledge, including: | ||
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- Clinical trial information. | ||
- Co-occurrence networks from literature citations. | ||
- Drug-target interactions. | ||
- Drug-indication importance. | ||
- Disease-drug distance. | ||
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`labyrinth` emphasizes the importance of aligning computational models with intuitive human reasoning. Thus, it employs a human-like knowledge retrieval methodology to identify potential drug candidates for various diseases. `labyrinth` aims to strike a balance between predictive accuracy and model interpretability, as demonstrated by its robust performance across diverse diseases, evaluated using ROC-AUC metrics. | ||
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![A simple schema of the labyrinth](man/figures/intro.jpg) | ||
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## A notice on operating system compatibility | ||
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I developed and tested `labyrinth` on Fedora Linux version 38 and 39. While this package does not contain any operating system-specific code, it has not been tested on other operating systems. In theory, `labyrinth` should work on other Unix-like operating systems as long as the required dependencies are installed. | ||
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We recommended these dependencies to be installed: | ||
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- **R (≥ 4.3.0)**: We developed this R package using R version 4.3.3. | ||
- **Python**: Python is required for drawing plots in demos. It is recommended to have Python and `seaborn` installed, as the `reticulate` package will use the system's Python installation. | ||
- **OpenMP**: This package uses OpenMP for parallelization and multithreading if OpenMP exists. Having OpenMP installed can significantly improve performance. | ||
- **Intel oneAPI Math Kernel Library (oneMKL)**: This library can further enhance mathematical performance, especially on Intel processors. oneMKL is not required but highly recommended. | ||
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If you encounter any issues while running this package on other operating system, please open an [issue](https://github.com/randef1ned/labyrinth/issues). | ||
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## Before installation | ||
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Before installation, we recommended you install Intel oneAPI Math Kernel Library (oneMKL) to optimize the computational performance of linear algebra. | ||
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Windows users can download oneMKL from [Intel's website](https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl-download.html) and install it in the default directory. The default directory is: `C:\Program Files (x86)\Intel\oneAPI`. | ||
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Debian and Ubuntu users can download oneMKL using apt in the non-free repo: | ||
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``` bash | ||
# Install oneMKL version 2020.4.304-4 | ||
sudo apt install intel-mkl-full | ||
``` | ||
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Or using the Intel repo: | ||
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``` bash | ||
# Set up the repository and signed the entry | ||
wget -O- https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB \ | ||
| gpg --dearmor | sudo tee /usr/share/keyrings/oneapi-archive-keyring.gpg > /dev/null | ||
echo "deb [signed-by=/usr/share/keyrings/oneapi-archive-keyring.gpg] https://apt.repos.intel.com/oneapi all main" | sudo tee /etc/apt/sources.list.d/oneAPI.list | ||
# Update the package list | ||
sudo apt update | ||
# Install the latest oneMKL (version 2024.1) | ||
sudo apt install intel-oneapi-mkl | ||
``` | ||
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Fedora users can download oneMKL by using dnf: | ||
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``` bash | ||
# Create dnf repository file | ||
tee > /tmp/oneAPI.repo << EOF | ||
[oneAPI] | ||
name=Intel® oneAPI repository | ||
baseurl=https://yum.repos.intel.com/oneapi | ||
enabled=1 | ||
gpgcheck=1 | ||
repo_gpgcheck=1 | ||
gpgkey=https://yum.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB | ||
EOF | ||
sudo mv /tmp/oneAPI.repo /etc/yum.repos.d | ||
# Install the latest oneMKL (version 2024.0) | ||
sudo dnf install intel-oneapi-mkl | ||
``` | ||
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## Installation | ||
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Install `labyrinth` using: | ||
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``` r | ||
install.packages(c('devtools', 'BiocManager')) | ||
remotes::install_github("randef1ned/labyrinth") | ||
``` | ||
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Or you can download the pre-built binary packages from [Releases](https://github.com/randef1ned/labyrinth/releases). | ||
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## Usage | ||
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Load the package using `library(labyrinth)`. We provide a vignette for the package that can be called using: `vignette("labyrinth")`. Alternatively, you can view the online version on [website](https://labyrinth.yinchun.su/articles/labyrinth) or [GitHub](doc/labyrinth_knit.md). Basically that is all you have to know. | ||
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[This documentation](doc/training_knit.md) contains information about the contents and the necessary information for training the model used in this project. The `tools/` folder contains all the code and scripts required for constructing your own model, so that you can understand the technical details. Besides, you can refer to [this documentation](doc/preface_knit.md) for the background and inspirations behind the overall workflow of `labyrinth. | ||
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## Changelog | ||
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Changelog: [see this](NEWS.md) | ||
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<!-- | ||
## Star history | ||
[![Star History Chart](https://api.star-history.com/svg?repos=randef1ned/labyrinth&type=Date)](https://star-history.com/#randef1ned/labyrinth&Date) | ||
--> |
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url: https://labyrinth.yinchun.su | ||
template: | ||
bootstrap: 5 |
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- [Introduction](#introduction) | ||
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## Introduction | ||
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ab |
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