- A multi|modal framework improves prediction of tissue|specific gene ...🔍
- A Multi|Modal Framework Improves Prediction of Tissue|Specific ...🔍
- Multi|modal generative modeling for joint analysis of single|cell T ...🔍
- Deep model predictive control of gene expression in thousands of ...🔍
- A multi|modal fusion framework based on multi|task correlation ...🔍
- Multi|modal Transfer Learning between Biological Foundation Models🔍
- A deep learning framework for gene expression prediction in maize ...🔍
- A Multi‐Omics🔍
A multi|modal framework improves prediction of tissue|specific gene ...
A multi-modal framework improves prediction of tissue-specific gene ...
We propose a methodology, Multi-mOdal-based framework to bridge the Transcriptome between PEripheral and Central tissues (MOTPEC).
A multi-modal framework improves prediction of tissue-specific gene ...
The MOTPEC framework improves the gene expression prediction accuracy for central tissues and enhances the identification of tissue-specific trait-associated ...
A Multi-Modal Framework Improves Prediction of Tissue-Specific ...
The MOTPEC-based differential gene expression (DGE) analysis of BMI in the central tissues (including brain caudate basal ganglia and visceral ...
A multi-modal framework improves prediction of tissue-specific gene ...
PDF | On Aug 23, 2024, Yue Xu and others published A multi-modal framework improves prediction of tissue-specific gene expression from a surrogate tissue ...
A Multi-Modal Framework Improves Prediction of Tissue-Specific ...
Download Citation | On Jan 1, 2024, Yue Xu and others published A Multi-Modal Framework Improves Prediction of Tissue-Specific Gene ...
MTM: a multi-task learning framework to predict individualized tissue ...
MTM: a multi-task learning framework to predict individualized tissue gene expression profiles ... tissues, hence improving the prediction performance of ...
A multi-modal framework improves prediction of tissue-specific gene ...
A multi-modal framework improves prediction of tissue-specific gene expression from a surrogate tissue ... Authors: Yue Xu; Chunfeng He; Jiayao Fan; Yuan Zhou ...
DeepPerVar: a multi-modal deep learning framework for functional ...
... genetic variations and traits in a population study, targeting a specific disease. Results: By leveraging paired whole-genome sequencing ...
MTM: a multi-task learning framework to predict individualized tissue ...
To achieve individualized gene expression prediction, we proposed a deep learning framework, Multi-tissue. 63. Transcriptome Mapping (MTM), a ...
Multi-modal generative modeling for joint analysis of single-cell T ...
Therefore, we investigated to what extent a joint T cell embedding improves the prediction of antigen specificity while preserving modality- ...
DeepPerVar: a multi-modal deep learning framework for functional ...
We propose a multi-modal deep learning framework to predict genome-wide quantitative epigenetic signals by considering both personal genetic variations and ...
Deep model predictive control of gene expression in thousands of ...
... prediction accuracy (Fig. S5). The past mother cell fluorescence stood out for its role in improving prediction accuracy, although ...
A multi-modal fusion framework based on multi-task correlation ...
We propose that not only multiple modalities, but also multiple tasks can improve the performance of cancer diagnosis and prognosis prediction. · We use sparse ...
Multi-modal Transfer Learning between Biological Foundation Models
These results demonstrate that our multi-modal framework can be improved by leveraging more domain-specific encoders. As our best model for isoform prediction ...
A deep learning framework for gene expression prediction in maize ...
... tissue was used in this study to build the deep learning prediction model. ... Prediction accuracy will also be improved by integrating multi-omics data ...
A Multi‐Omics, Machine Learning‐Aware, Genome‐Wide Metabolic ...
... Model of Bacillus Subtilis Refines the Gene Expression and Cell Growth Prediction ... framework that expands the gene expression-cell ...
Multi‐Omics Factor Analysis—a framework for unsupervised ...
... gene mutation with gene expression data improves outcome prediction in myelodysplastic syndromes. ... tissue gene expression experiments. Nat Genet 48 ...
DeepGAMI: deep biologically guided auxiliary learning for ...
... framework for phenotype prediction using multi-modal ... multi-omics analyses for predicting cell-type disease genes and regulatory networks.
DeepOmix: A scalable and interpretable multi-omics deep learning ...
... improve survival prediction and detect functional gene modules from multi-omics data. ... framework for multi-omics data integration and survival prediction.
Multimodal contrastive learning for spatial gene expression ... - arXiv
... cell carcinoma dataset demonstrates its superior performance in predicting spatial gene expression. ... tissue section predicted by our model ...