Pinned Repositories
CLEAR
CLEAR: Self-supervised contrastive learning for integrative single-cell RNA-seq data analysis
Dense-Homolog-Retrieval
Nature Biotechnology: Ultra-fast, sensitive detection of protein remote homologs using deep dense retrieval
e2efold
pytorch implementation for "RNA Secondary Structure Prediction By Learning Unrolled Algorithms"
E2Efold-3D
End-to-End Deep Learning Method for accurate de novo RNA 3D Structure Prediction
ifDEEPre
large protein language-based deep learning enables interpretable and fast predictions of enzyme commission numbers
RhoDesign
RhoDesign is a structure-to-sequence model for RNA design.
RhoFold
RhoFold+: Accurate RNA 3D structure prediction using a language model-based deep learning approach
RiboDiffusion
ISMB-24/Bioinformatics: Tertiary Structure-based RNA Inverse Folding with Generative Diffusion Models
RNA-FM
RNA foundation model
USPNet
Nature Computational Science: Unbiased organism-agnostic and highly sensitive signal peptide predictor with deep protein language model
ml4bio's Repositories
ml4bio/RNA-FM
RNA foundation model
ml4bio/e2efold
pytorch implementation for "RNA Secondary Structure Prediction By Learning Unrolled Algorithms"
ml4bio/Dense-Homolog-Retrieval
Nature Biotechnology: Ultra-fast, sensitive detection of protein remote homologs using deep dense retrieval
ml4bio/CLEAR
CLEAR: Self-supervised contrastive learning for integrative single-cell RNA-seq data analysis
ml4bio/RiboDiffusion
ISMB-24/Bioinformatics: Tertiary Structure-based RNA Inverse Folding with Generative Diffusion Models
ml4bio/RhoFold
RhoFold+: Accurate RNA 3D structure prediction using a language model-based deep learning approach
ml4bio/USPNet
Nature Computational Science: Unbiased organism-agnostic and highly sensitive signal peptide predictor with deep protein language model
ml4bio/RhoDesign
RhoDesign is a structure-to-sequence model for RNA design.
ml4bio/E2Efold-3D
End-to-End Deep Learning Method for accurate de novo RNA 3D Structure Prediction
ml4bio/ifDEEPre
large protein language-based deep learning enables interpretable and fast predictions of enzyme commission numbers
ml4bio/CasAINet
CasAINet: accurate and fast detection of Cas proteins via robust large language models and deep attentive neural networks