xiaoheilong3112 Goto Github PK

-transcription-factors-in-trophectoderm

analysis-of-gse105765-dataset

aracne-network-reconstruction-a-synthetic-dataset-approach

This repository demonstrates the application of the ARACNE algorithm for gene regulatory network reconstruction using a synthetic dataset. It includes the Python code for generating the synthetic dataset, implementing the ARACNE method, and analyzing the results.

data-science-learning

Repository of code and resources related to different data science and machine learning topics. For learning, practice and teaching purposes.

experiment-with-the-cleveland-heart-dataset

使用克利夫兰心脏病数据集包含 的303个实例和14个属性，请直接使用克利夫兰心脏病数据集的目标变量基于随机森林模型进行二分类预测，预测患者是否会患上心脏病。基于6个方法（混淆矩阵，精度，召回率、精确率和 F1 分数，ROC 曲线和 AUC 分数，特征重要性，部分依赖图）对前面随机森林模型的预测结果进行评估和解释。

fibre

WebGL 3d dynamical systems visualization

keras

Deep Learning for humans

matcher

MATCHER (Manifold Alignment to Characterize Experimental Relationships) is an approach for integrating single cell transcriptomic and epigenomic data. See Welch et al. (2017) for more details: https://genomebiology.biomedcentral.com/articles/10.1186/s13059-017-1269-0

microbiome-batch-effect-correction-

A comprehensive analysis of microbiome data focusing on batch effect correction using the ComBat algorithm and visualization through Principal Component Analysis (PCA).

microrna-research-analysis

本项目致力于深入探索和分析microRNA研究领域的数据。通过使用Python脚本对研究数据进行综合分析，我们可以揭示microRNA研究的历史趋势、主要贡献者和当前的热门主题。该仓库包含数据处理和可视化的脚本，以及详细的README文档，以指导用户如何使用这些脚本来分析自己的数据。

recognized-tbl-by-cnn