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Added bioinformatics related multimodal learning papers #74

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Added bioinformatics related multimodal learning papers
zhen-he Dec 27, 2024
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Added bioinformatics related multimodal learning papers
zhen-he Dec 27, 2024
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Added bioinformatics related multimodal learning papers
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Added bioinformatics related multimodal learning papers
zhen-he Dec 27, 2024
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23 changes: 23 additions & 0 deletions README.md
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Expand Up @@ -54,6 +54,7 @@ Public course content and lecture videos from [11-777 Multimodal Machine Learnin
* [Video Generation from Text](#video-generation-from-text)
* [Affect Recognition and Multimodal Language](#affect-recognition-and-multimodal-language)
* [Healthcare](#healthcare)
* [Bioinformatics](#bioinformatics)
* [Robotics](#robotics)
* [Autonomous Driving](#Autonomous-Driving)
* [Finance](#Finance)
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[Audiovisual Behavior Descriptors for Depression Assessment](https://dl.acm.org/citation.cfm?doid=2522848.2522886), ICMI 2013

### Bioinformatics

[Mosaic integration and knowledge transfer of single-cell multimodal data with MIDAS](https://www.nature.com/articles/s41587-023-02040-y), Nature Biotechnology 2024

[Modal-nexus auto-encoder for multi-modality cellular data integration and imputation](https://www.nature.com/articles/s41467-024-53355-6), Nature Communications 2024

[MultiVI: deep generative model for the integration of multimodal data](https://www.nature.com/articles/s41592-023-01909-9), Nature Methods 2023

[scMoMaT jointly performs single cell mosaic integration and multi-modal bio-marker detection](https://www.nature.com/articles/s41467-023-36066-2), Nature Communications 2023

[Multi-omics single-cell data integration and regulatory inference with graph-linked embedding](https://www.nature.com/articles/s41587-022-01284-4), Nature Biotechnology 2022

[A multi-use deep learning method for CITE-seq and single-cell RNA-seq data integration with cell surface protein prediction and imputation](https://www.nature.com/articles/s42256-022-00545-w), Nature Machine Intelligence 2022

[A unified computational framework for single-cell data integration with optimal transport](https://www.nature.com/articles/s41467-022-35094-8), Nature Communications 2022

[Cross-Linked Unified Embedding for cross-modality representation learning](https://proceedings.neurips.cc/paper_files/paper/2022/hash/662b1774ba8845fc1fa3d1fc0177ceeb-Abstract-Conference.html), NeurIPS 2022

[Integrated analysis of multimodal single-cell data](https://doi.org/10.1016/j.cell.2021.04.048), Cell 2021

[Joint probabilistic modeling of single-cell multi-omic data with totalVI](https://www.nature.com/articles/s41592-020-01050-x), Nature Methods 2021

### Robotics

[Detect, Reject, Correct: Crossmodal Compensation of Corrupted Sensors](https://arxiv.org/abs/2012.00201), ICRA 2021
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