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fix version inconsistency
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jrazi committed Apr 26, 2024
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5 changes: 4 additions & 1 deletion README.md
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# 🔍 KnockoffOrigins: An Implementation of "CONTROLLING THE FALSE DISCOVERY RATE VIA KNOCKOFFS (2015)"

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This repository hosts the implementation of the knockoff filter method for controlled variable selection, based on the "Controlling the False Discovery Rate via Knockoffs" paper from 2015. The method is designed for high-dimensional data settings to effectively control the false discovery rate while preserving statistical power.

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- [Using Poetry](#using-poetry)
- [From Source](#from-source)
- [Usage](#usage)
- [Generating Knockoff Features](#generating-knockoff-features)
- [Feature Selection with Lasso](#feature-selection-with-lasso)
- [Generating Synthetic GWAS Data](#generating-synthetic-gwas-data)
- [Contributing](#contributing)
- [License](#license)
- [TODO](#todo)
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2 changes: 1 addition & 1 deletion pyproject.toml
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[tool.poetry]
name = "KnockoffOrigins"
version = "0.1.2"
version = "v0.1.3"
description = "This repository is dedicated to implementing the methodologies from the 2015 paper \"False Discovery Rate via Knockoffs\". It provides code for generating knockoff features and applying selection procedures. The aim is to help users understand and apply the knockoff method for feature selection. Please refer to the original paper for a complete understanding."
authors = ["Javad Razi <[email protected]>"]
license = "MIT"
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