Tag: BI Total 10 articles All cs.GNN other logic pytorch cs.Meta cs.Transformer cs.Speech BI cs.diffusion CL cs.CoT cs.GAN CV cs.Multimodal cs.ContraLern cs.Object SE cs.MoE cs.Video IR cs.Recom OS 2023-01-17 bioRxiv-2021 Toward More General Embeddings for Protein Design：Harnessing Joint Representations of Sequence and Structure 2023-01-09 bioRxiv-2023 When Geometric Deep Learning Meets Pretrained Protein Language Models 2022-12-09 Bioinformatics-2021 DNABERT：pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome 2022-11-17 TPAMI-2020 ProtTrans：Towards Cracking the Language of Life’s Code Through Self-Supervised Learning 2022-11-16 Nature Machine Intelligence-2022 Learning functional properties of proteins with language models 2022-11-09 ICLR-2022 OntoProtein：Protein Pretraining With Gene Ontology Embedding 2022-11-09 Nature Biotechnology-2022 Single-sequence protein structure prediction using a language model and deep learning 2022-11-08 KDD-2021 Modeling Protein Using Large-scale Pretrain Language Model 2022-10-08 bioRxiv-2022 Language models of protein sequences at the scale of evolution enable accurate structure prediction 2022-10-07 PNAS-2021 Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences
2023-01-17 bioRxiv-2021 Toward More General Embeddings for Protein Design：Harnessing Joint Representations of Sequence and Structure
2022-12-09 Bioinformatics-2021 DNABERT：pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
2022-11-17 TPAMI-2020 ProtTrans：Towards Cracking the Language of Life’s Code Through Self-Supervised Learning
2022-11-16 Nature Machine Intelligence-2022 Learning functional properties of proteins with language models
2022-11-09 Nature Biotechnology-2022 Single-sequence protein structure prediction using a language model and deep learning
2022-10-08 bioRxiv-2022 Language models of protein sequences at the scale of evolution enable accurate structure prediction
2022-10-07 PNAS-2021 Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences
