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A module for constructing parameter initialization matrix of convolutional neural network for genomics using PFM matrix information of transcription factors in Jaspar database.

Project description



A library of functions to assist in the construction of deep learning models for genomics.

主要功能(Key Features)


Obtain a training set for deep learning training in genomics based on a given file (bed, bigwig, etc.) and conditions (sequence length, etc.).


Normalization of training data (label).


The parameter matrix for initializing the CNN is constructed based on the pfms matrix information from the JASPAR database.


Get the pfm, ppm, and pwm matrices corresponding to one or more sets of equal-length short sequences.

快速开始(Quick Start)


获取训练数据集(Obtain training data set)

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