ConvCGP: A Convolutional Neural Network to Predict Genotypic Values of Rice Traits from Compressed Genome-Wide Polymorphisms
Tanzila Islam, Chyon Hae Kim, Hiroyuki Shimono, Akio Kimura, 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.
bioRxiv · Nov 20, 2024 · PreprintBioinformatics