zzz_deep_genome
一个辅助基因组学深度学习模型构建的函数库
A library of functions to assist in the construction of deep learning models for genomics.
主要功能（Key Features）
根据给定文件（bed、bigwig等）和条件（序列长度等），获取用于组学深度学习训练的训练集。
Obtain a training set for deep learning training in genomics based on a given file (bed, bigwig, etc.) and conditions (sequence length, etc.).
训练数据（label）的标准化。
Normalization of training data (label).
根据JASPAR数据库的pfms矩阵信息，构建用于初始化CNN的参数矩阵。
The parameter matrix for initializing the CNN is constructed based on the pfms matrix information from the JASPAR database.
获取一组或多组等长短序列对应的pfm、ppm、pwm矩阵。
Get the pfm, ppm, and pwm matrices corresponding to one or more sets of equal-length short sequences.
快速开始（Quick Start）
安装
获取训练数据集（Obtain training data set）
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