Integrating spatial omics data using convolutional autoencoders  to identify multimodal biomarkers for tumor hypoxia in head and neck squamous cell carcinoma

Bitto, Verena

guest :: login DKFZ
		Search		Submit		Personalize Your alerts Your baskets Your searches		Help

Home > Publications database > Integrating spatial omics data using convolutional autoencoders to identify multimodal biomarkers for tumor hypoxia in head and neck squamous cell carcinoma

Poster (After Call)

DKFZ-2024-02683

Integrating spatial omics data using convolutional autoencoders to identify multimodal biomarkers for tumor hypoxia in head and neck squamous cell carcinoma

Bitto, V.DKFZ*

2023

Gordon Research Seminar, Cancer Genetics and Epigenetics (GRS), Lucca, Italy, 20 May 2023 - 21 May 2023

Contributing Institute(s):

E220 Radioonkologie Radiobiologie (E220)

Research Program(s):

315 - Bildgebung und Radioonkologie (POF4-315) (POF4-315)

Click to display QR Code for this record

The record appears in these collections:
Document types > Presentations > Poster
Public records
Publications database

Record created 2024-12-13, last modified 2024-12-16

Similar records

Rate this document:

(Not yet reviewed)

Add to personal basket
Export as Author List with IDs BibTeX (UTF-8), EndNote XML, EndNote Text, RIS, MARC, Print MARC, MARCXML, DC,
Request correction
Submit fulltext