Supervised Adversarial Alignment of Single-Cell RNA-seq Data-Reference-Cited by-同舟云学术

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Supervised Adversarial Alignment of Single-Cell RNA-seq Data

Published:2021-01-19 Issue: Volume: Page:
ISSN:1557-8666
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Ge Songwei¹,Wang Haohan²,Alavi Amir¹,Xing Eric²³,Bar-joseph Ziv¹³

Affiliation:

1. Computational Biology Department, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.

2. Language Technologies Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.

3. Machine Learning Department, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.

Publisher

Mary Ann Liebert Inc

Subject

Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modeling and Simulation

Link

https://www.liebertpub.com/doi/pdf/10.1089/cmb.2020.0439

Reference46 articles.

1. Site-specific glycations of apolipoprotein A-I lead to differentiated functional effects on lipid-binding and on glucose metabolism

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1. scSwinFormer: A Transformer-Based Cell-Type Annotation Method for scRNA-Seq Data Using Smooth Gene Embedding and Global Features;Journal of Chemical Information and Modeling;2024-08-05

2. Multi-omics delineate growth factor network underlying exercise effects in an Alzheimer’s mouse model;2024-05-05

3. scDREAMER for atlas-level integration of single-cell datasets using deep generative model paired with adversarial classifier;Nature Communications;2023-11-27

4. A Sentence Speaks a Thousand Images: Domain Generalization through Distilling CLIP with Language Guidance;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

5. Trustworthy Machine Learning: Robustness, Generalization, and Interpretability;Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2023-08-04

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