Generating Labeled Low-Heterogeneity Transcriptomes Using CRISPRa and CRISPRi Can Improve Phenotype Prediction by Deep Learning.

Abstract excerpt

The development of deep learning (DL) methods in biology holds great promise for fundamental knowledge, biomedicine, and agriculture. The most global challenge in this area is the development of models that use omics data to predict the complex phenotypic traits, in particular cancer resistance to radiotherapy and chemotherapy. Due to the insufficient volume and high heterogeneity, the available datasets are not...

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