Region-specific denoising identifies spatial co-expression patterns and intra-tissue heterogeneity in spatially resolved transcriptomics data
Spatially resolved transcriptomics is a relatively new technique that maps transcriptional information within a tissue. Here the authors present MIST, which detects molecular regions from spatially resolved transcriptomics and denoises the missing gene expression values by region-specific imputation...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2022-11-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-022-34567-0 |
| _version_ | 1828094246618398720 |
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| author | Linhua Wang Mirjana Maletic-Savatic Zhandong Liu |
| author_facet | Linhua Wang Mirjana Maletic-Savatic Zhandong Liu |
| author_sort | Linhua Wang |
| collection | DOAJ |
| description | Spatially resolved transcriptomics is a relatively new technique that maps transcriptional information within a tissue. Here the authors present MIST, which detects molecular regions from spatially resolved transcriptomics and denoises the missing gene expression values by region-specific imputation. |
| first_indexed | 2024-04-11T06:56:08Z |
| format | Article |
| id | doaj.art-d860c42d2c5c49ecba5e390930fb1152 |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-04-11T06:56:08Z |
| publishDate | 2022-11-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-d860c42d2c5c49ecba5e390930fb11522022-12-22T04:39:02ZengNature PortfolioNature Communications2041-17232022-11-0113111210.1038/s41467-022-34567-0Region-specific denoising identifies spatial co-expression patterns and intra-tissue heterogeneity in spatially resolved transcriptomics dataLinhua Wang0Mirjana Maletic-Savatic1Zhandong Liu2Graduate School of Biomedical Sciences, Program in Quantitative and Computational Biosciences, Baylor College of MedicineJan and Dan Duncan Neurological Research Institute at Texas Children’s HospitalJan and Dan Duncan Neurological Research Institute at Texas Children’s HospitalSpatially resolved transcriptomics is a relatively new technique that maps transcriptional information within a tissue. Here the authors present MIST, which detects molecular regions from spatially resolved transcriptomics and denoises the missing gene expression values by region-specific imputation.https://doi.org/10.1038/s41467-022-34567-0 |
| spellingShingle | Linhua Wang Mirjana Maletic-Savatic Zhandong Liu Region-specific denoising identifies spatial co-expression patterns and intra-tissue heterogeneity in spatially resolved transcriptomics data Nature Communications |
| title | Region-specific denoising identifies spatial co-expression patterns and intra-tissue heterogeneity in spatially resolved transcriptomics data |
| title_full | Region-specific denoising identifies spatial co-expression patterns and intra-tissue heterogeneity in spatially resolved transcriptomics data |
| title_fullStr | Region-specific denoising identifies spatial co-expression patterns and intra-tissue heterogeneity in spatially resolved transcriptomics data |
| title_full_unstemmed | Region-specific denoising identifies spatial co-expression patterns and intra-tissue heterogeneity in spatially resolved transcriptomics data |
| title_short | Region-specific denoising identifies spatial co-expression patterns and intra-tissue heterogeneity in spatially resolved transcriptomics data |
| title_sort | region specific denoising identifies spatial co expression patterns and intra tissue heterogeneity in spatially resolved transcriptomics data |
| url | https://doi.org/10.1038/s41467-022-34567-0 |
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