Computational methods and biomarker discovery strategies for spatial proteomics: a review in immuno-oncology

Abstract Advancements in imaging technologies have revolutionized our ability to deeply profile pathological tissue architectures, generating large volumes of imaging data with unparalleled spatial resolution. This type of data collection, namely, spatial proteomics, offers invaluable insights into...

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Veröffentlicht in:	Briefings in bioinformatics 2024-07, Vol.25 (5)
Hauptverfasser:	Mi, Haoyang, Sivagnanam, Shamilene, Ho, Won Jin, Zhang, Shuming, Bergman, Daniel, Deshpande, Atul, Baras, Alexander S, Jaffee, Elizabeth M, Coussens, Lisa M, Fertig, Elana J, Popel, Aleksander S
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Biomarkers Biomarkers, Tumor - metabolism Cancer immunotherapy Computational Biology - methods Computer applications Data collection Humans Image processing Image Processing, Computer-Assisted - methods Medical imaging Neoplasms - immunology Neoplasms - metabolism Oncology Proteomics Proteomics - methods Spatial data Spatial discrimination Spatial resolution Statistical methods
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