1 citations
- A. Hingorani1 · h 114
- A. Timmis1 · h 66
- Chair of Scientific Computing for Systems Biology at Fac Dresden1 · h 1
- Cluster of Excellence Physics of Life Dresden1 · h 1
- G. Dresden1 · h 4
- Henrietta Forssen1 · h 1
- H. Hemingway1 · h 88
- I. Sbalzarini1 · h 40
- Kirstin Meyer1 · h 7
- L. Brusch1 · h 26
- N. Fitzpatrick1 · h 17
- R. Patel1 · h 46
- Center for Systems Biology DresdenDE1 paper
- Institute of Informatics of the Slovak Academy of SciencesSK1 paper
- Max Planck Institute of Molecular Cell Biology and GeneticsDE1 paper
- NIHR Barts Cardiovascular Biomedical Research UnitGB1 paper
- Physics of LifeDE1 paper
- Technische Universität DresdenDE1 paper
- University College LillebaeltDK1 paper
2 papers
q-bio.TO2020
Letter to the Editor and Comments on: Intravital dynamic and correlative imaging reveals diffusion-dominated canalicular and flow-augmented ductular bile flux
Lutz Brusch, Yannis Kalaidzidis, Kirstin Meyer +2
Bile, the central metabolic product of the liver, is secreted by hepatocytes into bile canaliculi (BC), tubular subcellular structures of 0.5-2 m diameter which are formed by th…
cs.LG2017★ 1 cited
Evaluation of Machine Learning Methods to Predict Coronary Artery Disease Using Metabolomic Data
Henrietta Forssen, Riyaz S. Patel, Natalie Fitzpatrick +4
Metabolomic data can potentially enable accurate, non-invasive and low-cost prediction of coronary artery disease. Regression-based analytical approaches however might fail to full…