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...
Main Authors: | , , , , , , , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
BioMed Central Ltd
2022
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Subjects: | |
Online Access: | View Fulltext in Publisher |
LEADER | 01968nam a2200409Ia 4500 | ||
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001 | 10.1186-s13059-022-02679-x | ||
008 | 220706s2022 CNT 000 0 und d | ||
020 | |a 14747596 (ISSN) | ||
245 | 1 | 0 | |a Bi-order multimodal integration of single-cell data |
260 | 0 | |b BioMed Central Ltd |c 2022 | |
856 | |z View Fulltext in Publisher |u https://doi.org/10.1186/s13059-022-02679-x | ||
520 | 3 | |a 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 canonical correlation analysis (bi-CCA), which extends the widely used CCA approach to iteratively align the rows and the columns between data matrices. Bi-CCA is generally applicable to combinations of any two single-cell modalities. Validations using co-assayed ground truth data and application to a CAR-NK study and a fetal muscle atlas demonstrate its capability in generating accurate multimodal co-embeddings and discovering cellular identity. © 2022, The Author(s). | |
650 | 0 | 4 | |a article |
650 | 0 | 4 | |a Bi-order canonical correlation analysis |
650 | 0 | 4 | |a Cell type identity |
650 | 0 | 4 | |a correlation analysis |
650 | 0 | 4 | |a embedding |
650 | 0 | 4 | |a multiomics |
650 | 0 | 4 | |a muscle |
650 | 0 | 4 | |a Single-cell multi-omics |
700 | 1 | 0 | |a Basar, R. |e author |
700 | 1 | 0 | |a Chen, K. |e author |
700 | 1 | 0 | |a Chen, R. |e author |
700 | 1 | 0 | |a Cheng, X. |e author |
700 | 1 | 0 | |a Choi, J. |e author |
700 | 1 | 0 | |a Daher, M. |e author |
700 | 1 | 0 | |a Dou, J. |e author |
700 | 1 | 0 | |a Huang, Y. |e author |
700 | 1 | 0 | |a Kim, S. |e author |
700 | 1 | 0 | |a Li, L. |e author |
700 | 1 | 0 | |a Li, Y. |e author |
700 | 1 | 0 | |a Liang, Q. |e author |
700 | 1 | 0 | |a Liang, S. |e author |
700 | 1 | 0 | |a Miao, Q. |e author |
700 | 1 | 0 | |a Mohanty, V. |e author |
700 | 1 | 0 | |a Rezvani, K. |e author |
773 | |t Genome Biology |