Liu-Hy/GenoTEX

GenoTEX是一个用于自动化基因表达数据分析的基准数据集，旨在识别与疾病相关的基因，同时考虑其他生物因素的影响。它提供了1,384个基因-性状关联分析问题，41.5GB的输入数据，以及由生物信息学专家精心策划的237,907行分析代码。该数据集分为三个主要目录：输入、输出和元数据，每个目录包含特定类型的数据和文件。README还解释了如何安装、探索和评估基准，以及如何使用它来开发和测试自动化方法进行基因表达数据分析。

GenoTEX is a benchmark dataset for automated gene expression data analysis to identify disease-associated genes while considering other biological factors. It includes 1,384 gene-trait association analysis problems, 41.5 GB of input data, and 237,907 lines of analysis code curated by bioinformatics experts. The dataset is organized into three main directories: input, output, and metadata, each containing specific types of data and files. The README also explains how to install, explore, and evaluate the benchmark, as well as how to use it for developing and testing automated methods for gene expression data analysis.