Ferdinand Kapl
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View article: inVAE: Conditionally invariant representation learning for generating multivariate single-cell reference maps
inVAE: Conditionally invariant representation learning for generating multivariate single-cell reference maps Open
Single-cell data is driving new insights into the spatiotemporal dynamics of cells and individual disease susceptibility. However, accurately identifying cell states across diverse cohorts remains challenging, as both biological variation …
View article: Conditionally Invariant Representation Learning for Disentangling Cellular Heterogeneity
Conditionally Invariant Representation Learning for Disentangling Cellular Heterogeneity Open
This paper presents a novel approach that leverages domain variability to learn representations that are conditionally invariant to unwanted variability or distractors. Our approach identifies both spurious and invariant latent features ne…
View article: Supplementary Material for: Survival-adjusted FEV1 and BMI percentiles for patients with cystic fibrosis before the era of triple CFTR modulator therapy in Germany
Supplementary Material for: Survival-adjusted FEV1 and BMI percentiles for patients with cystic fibrosis before the era of triple CFTR modulator therapy in Germany Open
Background: Pulmonary disease is the major cause for morbidity and mortality in cystic fibrosis (CF). In CF, forced expiratory volume in 1 second (FEV1) referenced against a healthy population (FEV1%predicted) and body mass index (BMI) do …
View article: Survival-Adjusted FEV1 and BMI Percentiles for Patients with Cystic Fibrosis before the Era of Triple CFTR Modulator Therapy in Germany
Survival-Adjusted FEV1 and BMI Percentiles for Patients with Cystic Fibrosis before the Era of Triple CFTR Modulator Therapy in Germany Open
Background: Pulmonary disease is the major cause for morbidity and mortality in cystic fibrosis (CF). In CF, forced expiratory volume in 1 s (FEV1) referenced against a healthy population (FEV1%predicted) and body mass index (BMI) do not a…