Method, system and storage medium for predicting pathogenicity of genome single-site variation
A prediction method and single-site technology, applied in the field of bioinformatics, can solve the problems of high cost, low reliability, and low prediction accuracy, and achieve cost saving, patient privacy protection, high accuracy and reliability Effect
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[0030] The technical solutions in the embodiments of the present invention will be described clearly and completely below with reference to the embodiments of the present invention and the accompanying drawings in the embodiments:
[0031] The method for predicting the pathogenicity of genome single-site variation provided by the present invention is based on the deep learning method, and the genome single-site variation data obtained by sequencing and the reference genome sequences of various species (also known as evolutionary conservation data) are used as training data. Medical diagnosis results are used as category labels, and the model obtained after training can calculate the data of various unit-point variations and predict the probability of causing genetic diseases according to different needs.
[0032] The model basis of the present invention is a mixture of convolutional neural networks and multilayer perceptrons. The purpose of the convolutional neural network is ...
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