16 citations · 36 across the 4 of their papers we have counts for
7 papers
Noise transfer for unsupervised domain adaptation of retinal OCT images
Valentin Koch, Olle Holmberg, Hannah Spitzer +4
Optical coherence tomography (OCT) imaging from different camera devices causes challenging domain shifts and can cause a severe drop in accuracy for machine learning models. In th…
A field guide to cultivating computational biology
Anne E Carpenter, Casey S Greene, Piero Carnici +11
Biomedical research centers can empower basic discovery and novel therapeutic strategies by leveraging their large-scale datasets from experiments and patients. This data, together…
SARS-CoV-2 Entry Genes Are Most Highly Expressed in Nasal Goblet and Ciliated Cells within Human Airways
Waradon Sungnak, Ni Huang, Christophe Bécavin +2
The SARS-CoV-2 coronavirus, the etiologic agent responsible for COVID-19 coronavirus disease, is a global threat. To better understand viral tropism, we assessed the RNA expression…
Conditional out-of-sample generation for unpaired data using trVAE
Mohammad Lotfollahi, Mohsen Naghipourfar, Fabian J. Theis +1
While generative models have shown great success in generating high-dimensional samples conditional on low-dimensional descriptors (learning e.g. stroke thickness in MNIST, hair co…
Single-cell eQTLGen Consortium: a personalized understanding of disease
Monique G. P. van der Wijst, Dylan H. de Vries, Hilde E. Groot +11
In recent years, functional genomics approaches combining genetic information with bulk RNA-sequencing data have identified the downstream expression effects of disease-associated…
Fully integrative data analysis of NMR metabolic fingerprints with comprehensive patient data: a case report based on the German Chronic Kidney Disease (GCKD) study
Helena U. Zacharias, Michael Altenbuchinger, Stefan Solbrig +11
Omics data facilitate the gain of novel insights into the pathophysiology of diseases and, consequently, their diagnosis, treatment, and prevention. To that end, it is necessary to…