Exome Sequencing Identifies Breast Cancer Susceptibility Genes and Defines the Contribution of Coding Variants to Breast Cancer Risk
NATURE GENETICS(2023)
Univ Cambridge | Genomics Center | Human Genotyping Unit-CeGen | Centre for Cancer Genetic Epidemiology | MRC Epidemiology Unit | Institute of Medical Biometry and Epidemiology | Division of Cancer Epidemiology | Oncology and Genetics Unit | Division of Molecular Pathology | Gynaecology Research Unit | Institute for Medical Informatics | Cancer Genetics and Epidemiology Group | Team ‘Exposome and Heredity | Cyprus Inst Neurol & Genet | Univ Cologne | Natl Univ Singapore | Department of Breast Surgery | Tech Univ Munich | Genome Institute of Singapore | Breast Cancer Research Programme | Family Cancer Clinic | Division of Oncology | Human Genetics Group | Department of Pathology
- Pretraining has recently greatly promoted the development of natural language processing (NLP)
- We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
- We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
- The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
- Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance

被引用531 | 浏览
被引用48004 | 浏览
被引用475 | 浏览
被引用2356 | 浏览
被引用945 | 浏览
被引用9488 | 浏览
被引用991 | 浏览
被引用51 | 浏览
被引用53 | 浏览
被引用5 | 浏览