BioinformaticsbioRxivPreprint
ConvCGP: A Convolutional Neural Network to Predict Genotypic Values of Rice Traits from Compressed Genome-Wide Polymorphisms
Tanzila Islam, Chyon Hae Kim, Hiroyuki Shimono…·Hiroyoshi Iwata
The paper introduces ConvCGP, a deep learning framework combining CNNs and autoencoders to predict rice trait genotypic values from compressed genome-wide polymorphism data, outperforming existing methods.
DOI 10.1101/2024.11.20.624609