Bi-order multimodal integration of single-cell data

Bi-order multimodal integration of single-cell data

Integration of single-cell multiomics profiles generated by different single-cell technologies from the same biological sample is still challenging. Previous approaches based on shared features have only provided approximate solutions. Here, we present a novel mathematical solution named bi-order ca...

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Bibliographic Details
Main Authors: Basar, R. (Author), Chen, K. (Author), Chen, R. (Author), Cheng, X. (Author), Choi, J. (Author), Daher, M. (Author), Dou, J. (Author), Huang, Y. (Author), Kim, S. (Author), Li, L. (Author), Li, Y. (Author), Liang, Q. (Author), Liang, S. (Author), Miao, Q. (Author), Mohanty, V. (Author), Rezvani, K. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2022
Subjects:
article
Bi-order canonical correlation analysis
Cell type identity
correlation analysis
embedding
multiomics
muscle
Single-cell multi-omics
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