Deep Learning to Characterize Cellular Senescence in Aging and Age-related Diseases
Research output: Book/Report › Ph.D. thesis › Research
Standard
Deep Learning to Characterize Cellular Senescence in Aging and Age-related Diseases. / Heckenbach, Indra John.
University of Copenhagen, 2023.Research output: Book/Report › Ph.D. thesis › Research
Harvard
Heckenbach, IJ 2023, Deep Learning to Characterize Cellular Senescence in Aging and Age-related Diseases. University of Copenhagen.
APA
Heckenbach, I. J. (2023). Deep Learning to Characterize Cellular Senescence in Aging and Age-related Diseases. University of Copenhagen.
Vancouver
Heckenbach IJ. Deep Learning to Characterize Cellular Senescence in Aging and Age-related Diseases. University of Copenhagen, 2023.
Author
Bibtex
@phdthesis{7989bd66a7234a13ba1b9dc81645f1e2,
title = "Deep Learning to Characterize Cellular Senescence in Aging and Age-related Diseases",
author = "Heckenbach, {Indra John}",
year = "2023",
month = apr,
day = "4",
language = "English",
publisher = "University of Copenhagen",
}
RIS
TY - BOOK
T1 - Deep Learning to Characterize Cellular Senescence in Aging and Age-related Diseases
AU - Heckenbach, Indra John
PY - 2023/4/4
Y1 - 2023/4/4
M3 - Ph.D. thesis
BT - Deep Learning to Characterize Cellular Senescence in Aging and Age-related Diseases
PB - University of Copenhagen
ER -
ID: 337659283