Werner Syndrome Helicase is Required for the Survival of Cancer Cells with Microsatellite Instability.
iScience(2019)SCI 2区
IDEAYA Biosci
- 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57
被引用12
Uncovering an Allosteric Mode of Action for a Selective Inhibitor of Human Bloom Syndrome Protein
被引用15
被引用47
WRN Germline Mutation is the Likely Inherited Etiology of Various Cancer Types in One Iranian Family
被引用2
The WRN helicase: resolving a new target in microsatellite unstable cancers
被引用16
Uncovering Cancer Vulnerabilities by Machine Learning Prediction of Synthetic Lethality.
被引用10
被引用6
被引用11
WRN Helicase Safeguards Deprotected Replication Forks in BRCA2-mutated Cancer Cells
被引用21
Mutational Signatures Are Markers of Drug Sensitivity of Cancer Cells
被引用28
被引用50
Exploring the DNA Damage Response Pathway for Synthetic Lethality
被引用3
被引用10
被引用7
被引用5
WRN is a Promising Synthetic Lethal Target for Cancers with Microsatellite Instability (MSI).
被引用0