Statistical and machine learning methods for spatially resolved transcriptomics with histology

Recent developments in spatially resolved transcriptomics (SRT) technologies have enabled scientists to get an integrated understanding of cells in their morphological context. Applications of these technologies in diverse tissues and diseases have transformed our views of transcriptional complexity...

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Dades bibliogràfiques
Publicat a:Comput Struct Biotechnol J
Autors principals: Hu, Jian, Schroeder, Amelia, Coleman, Kyle, Chen, Chixiang, Auerbach, Benjamin J., Li, Mingyao
Format: Artigo
Idioma:Inglês
Publicat: Research Network of Computational and Structural Biotechnology 2021
Matèries:
Review
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC8273359/
https://ncbi.nlm.nih.gov/pubmed/34285782
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.csbj.2021.06.052
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