Bergenstråhle et al., 2022 - Google Patents
Super-resolved spatial transcriptomics by deep data fusionBergenstråhle et al., 2022
View PDF- Document ID
- 3688068989648201788
- Author
- Bergenstråhle L
- He B
- Bergenstråhle J
- Abalo X
- Mirzazadeh R
- Thrane K
- Ji A
- Andersson A
- Larsson L
- Stakenborg N
- Boeckxstaens G
- Khavari P
- Zou J
- Lundeberg J
- Maaskola J
- Publication year
- Publication venue
- Nature biotechnology
External Links
Snippet
Current methods for spatial transcriptomics are limited by low spatial resolution. Here we introduce a method that integrates spatial gene expression data with histological image data from the same tissue section to infer higher-resolution expression maps. Using a deep …
- 230000004927 fusion 0 title description 6
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- G06F19/24—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for machine learning, data mining or biostatistics, e.g. pattern finding, knowledge discovery, rule extraction, correlation, clustering or classification
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- G06F19/20—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for hybridisation or gene expression, e.g. microarrays, sequencing by hybridisation, normalisation, profiling, noise correction models, expression ratio estimation, probe design or probe optimisation
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- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
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