Multi|modal generative modeling for joint analysis of single|cell T ...

Multi-modal generative modeling for joint analysis of single-cell T ...

We develop the multimodal generative model mvTCR to fuse modality-specific information across transcriptome and TCR into a shared representation.

(PDF) Multi-modal generative modeling for joint analysis of single ...

PDF | Recent advances in single-cell immune profiling have enabled the simultaneous measurement of transcriptome and T cell receptor (TCR) ...

Multi-modal generative modeling for joint analysis of single-cell T ...

Recent advances in single-cell immune profiling have enabled the simultaneous measurement of transcriptome and T cell receptor (TCR) sequences, ...

Multi-modal generative modeling for joint analysis of single-cell T ...

The multimodal generative model mvTCR is developed to fuse modality-specific information across transcriptome and TCR into a shared representation to enable ...

Multi-modal generative modeling for joint analysis of single-cell T ...

Downloadable! Recent advances in single-cell immune profiling have enabled the simultaneous measurement of transcriptome and T cell receptor (TCR) sequences ...

MultiVI: deep generative model for the integration of multimodal data

Jointly profiling the transcriptome, chromatin accessibility and other molecular properties of single cells offers a powerful way to study ...

Multi-modal generative modeling for joint analysis of single-cell T ...

AbstractRecent advances in single-cell immune profiling have enabled the simultaneous measurement of transcriptome and T cell receptor (TCR) sequences, ...

Sunil k Joshi on LinkedIn: Multi-modal generative modeling for joint ...

Multi-modal generative modeling for joint analysis of single-cell T cell receptor and gene expression data https://lnkd.in/egpfw4ab.

A deep generative model for multi-view profiling of single-cell RNA ...

Another work tested the application of multiple neural networks for integrative multimodal integration analysis, which used different joint ...

Generating Multi-Modal and Multi-Attribute Single-Cell Counts with ...

Generative modeling of single-cell RNA-seq data has shown invaluable potential in community-driven tasks such as trajectory inference, batch ...

scCross: a deep generative model for unifying single-cell multi ...

In comparison to scglue, our analysis uncovered a greater number of overlapping gene markers in the majority of cell types (9 out of 13), ...

Multimodal deep learning approaches for single-cell multi-omics ...

We categorize the published work based on MDL model architecture, fusion strategy, key integration tasks and downstream biological analysis. The ...

A mixture-of-experts deep generative model for integrated analysis ...

scMM effectively infers interpretable joint representations from multimodal single-cell data. In addition, scMM learns underlying relationships ...

MultiVI: deep generative model for the integration of multi-modal data

MultiVI is a deep generative model for the integrated analysis of single cell gene expression and chromatin accessibility data. MultiVI uses ...

Robust probabilistic modeling for single-cell multimodal mosaic ...

Building on deep generative models, scVAEIT provides a flexible way to jointly analyze multiple multimodal and single-modal single-cell datasets while ...

Integrated analysis of multimodal single-cell data with structural ...

For the PBMC 3k dataset, we only use the chromatin accessibility data for hybrid joint analysis with 10k dataset. The gene expression modality ...

The performance of deep generative models for learning joint ...

3 Literature review. Although recently, several available deep learning-based applications for the integration of single-cell multi-omics data have been ...

EWSC: Generative AI for modeling single-cell responses, Fabian Theis

EWSC-MIT EECS Joint Colloquium Series Presented by Eric and Wendy Schmidt Center July 6, 2023 Broad Institute of MIT and Harvard Fabian ...

MultiVI: deep generative model for the integration of multi-modal data

MultiVI is a deep generative model for the integrated analysis of single cell gene expression and chromatin accessibility data. MultiVI uses jointly profiled.

MultiVI: deep generative model for the integration of multimodal data

Jointly profiling the transcriptome, chromatin accessibility and other molecular properties of single cells offers a powerful way to study cellular ...