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Chen et al., 2022 - Google Patents

A comprehensive comparison on cell-type composition inference for spatial transcriptomics data

Chen et al., 2022

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Document ID
6431499384648580228
Author
Chen J
Liu W
Luo T
Yu Z
Jiang M
Wen J
Gupta G
Giusti P
Zhu H
Yang Y
Li Y
Publication year
Publication venue
Briefings in Bioinformatics

External Links

Snippet

Spatial transcriptomics (ST) technologies allow researchers to examine transcriptional profiles along with maintained positional information. Such spatially resolved transcriptional characterization of intact tissue samples provides an integrated view of gene expression in …
Continue reading at www.ncbi.nlm.nih.gov (HTML) (other versions)

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    • G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
    • G06F19/12—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for modelling or simulation in systems biology, e.g. probabilistic or dynamic models, gene-regulatory networks, protein interaction networks or metabolic networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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