Ciliopathy Patient Variants Reveal Organelle-Specific Functions for TUBB4B in Axonemal Microtubules
SCIENCE(2024)
Univ Edinburgh | Univ Paris | Blavatnik Inst | Univ Hong Kong | Univ Dundee | Washington Univ | Univ North Carolina Chapel Hill | Molecular Genetics Laboratory | Univ Childrens Hosp Munster | UCL | Univ Southampton | Hop Intercommuncal Creteil | Inst Med Phys & Biophys | Core Facility for Electron Microscopy | Univ Leicester | Oslo Univ Hosp | Sorbonne Univ | Univ Alabama Birmingham | Icahn Sch Med Mt Sinai | Birmingham Womens & Childrens Hosp NHS Fdn Trust | Hop Necker Enfants Malad | Meyer Childrens Hosp IRCCS | Carl Thiem Klinikum Cottbus | Royal Brompton Hosp | Boston Childrens Hosp | Univ Washington | Royal Hosp Children & Young People | ENT Department | Med Genet Dept | Larrey Hosp | Department of Paediatric Respiratory and Sleep Medicine
- 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

Whole Genome Sequencing Enhances Molecular Diagnosis of Primary Ciliary Dyskinesia.
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