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pro vyhledávání: '"Cross-modal imputation"'
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Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-17 (2024)
Abstract Background With the development of single-cell technology, many cell traits can be measured. Furthermore, the multi-omics profiling technology could jointly measure two or more traits in a single cell simultaneously. In order to process the
Externí odkaz:
https://doaj.org/article/c5bb50af21ba4e1bb9ccfd4f10080252
Autor:
Wang, Lifei1 (AUTHOR) wanglf1020@gmail.com, Nie, Rui2,3,4 (AUTHOR), Miao, Xuexia2,3 (AUTHOR), Cai, Yankai5 (AUTHOR), Wang, Anqi1 (AUTHOR), Zhang, Hanwen1 (AUTHOR), Zhang, Jiang6 (AUTHOR) zhangjiang@bnu.edu.cn, Cai, Jun2,3,4 (AUTHOR) juncai@big.ac.cn
Publikováno v:
BMC Bioinformatics. 1/24/2024, Vol. 25 Issue 1, p1-17. 17p.
Autor:
Tang, Zhenchao, Chen, Guanxing, Chen, Shouzhi, Yao, Jianhua, You, Linlin, Chen, Calvin Yu-Chian
Publikováno v:
Nature Communications; 10/18/2024, Vol. 15 Issue 1, p1-15, 15p
Autor:
Chandrashekar, Pramod Bharadwaj1,2 (AUTHOR), Alatkar, Sayali1,3 (AUTHOR), Wang, Jiebiao4 (AUTHOR), Hoffman, Gabriel E.5 (AUTHOR), He, Chenfeng1,2 (AUTHOR), Jin, Ting1,2 (AUTHOR), Khullar, Saniya1,2 (AUTHOR), Bendl, Jaroslav5 (AUTHOR), Fullard, John F.5 (AUTHOR), Roussos, Panos5,6,7 (AUTHOR), Wang, Daifeng1,2,3 (AUTHOR) daifeng.wang@wisc.edu
Publikováno v:
Genome Medicine. 10/31/2023, Vol. 15 Issue 1, p1-19. 19p.
Data Augmentation with Cross-Modal Variational Autoencoders (DACMVA) for Cancer Survival Prediction.
Autor:
Rajaram, Sara1 (AUTHOR) srajaram8@gatech.edu, Mitchell, Cassie S.1,2 (AUTHOR) cassie.mitchell@bme.gatech.edu
Publikováno v:
Information (2078-2489). Jan2024, Vol. 15 Issue 1, p7. 14p.
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-15 (2024)
Abstract Heterogeneous feature spaces and technical noise hinder the cellular data integration and imputation. The high cost of obtaining matched data across modalities further restricts analysis. Thus, there’s a critical need for deep learning app
Externí odkaz:
https://doaj.org/article/b703674671ed48bbaab75d65869ccdd1
Publikováno v:
Genomics & Genetics Weekly; 11/24/2023, p422-422, 1p
Autor:
Wang, Feng-ao, Zhuang, Zhenfeng, Gao, Feng, He, Ruikun, Zhang, Shaoting, Wang, Liansheng, Liu, Junwei, Li, Yixue
Publikováno v:
Genome Biology; 6/6/2024, Vol. 25 Issue 1, p1-24, 24p
Publikováno v:
Nature Machine Intelligence.
Single-cell multimodal datasets have measured various characteristics of individual cells, enabling a deep understanding of cellular and molecular mechanisms. However, multimodal data generation remains costly and challenging, and missing modalities
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ccc6ed81bf8c1f8c5df068e47bcd20a
https://doi.org/10.1038/s42256-023-00663-z
https://doi.org/10.1038/s42256-023-00663-z