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11 to 20 of 25 Results
Unknown - 12.1 KB - MD5: e1a4c3d561bd5afb7abdf253deb07962
Script used for the IF images segmentation and analysis for classification into E-cad and N-Cad positive cells
Python Source Code - 10.1 KB - MD5: 799aec9a1f707be058aceb3aee3f3bed
Python script to perform MCMC sampling on the CBSD model using the PEtab files
Python Source Code - 3.4 KB - MD5: 7c6b8e987ef2a9a70be164d7cc7473de
Python script to calibrate the CBSD model using the PEtab files
Apr 9, 2024
Herrmann, Karl-Heinz; Zhao, Wan-Ting; Höpfl, Sebastian; Reichenbach, Jürgen R., 2024, "MRI based perfusion of rats with 60% PVL", https://doi.org/10.18419/DARUS-3878, DaRUS, V1, UNF:6:sQocf/P7vdAmWMQR6rEEJw== [fileUNF]
The study investigates in vivo liver perfusion in rats. Perfusion of ligated and non-ligated liver lobes of 25 rats was monitored via MRI. Rats were subjected to 60% Portal Vein Ligation (PVL). Experimentally, the left stem of the portal vein (supplying Left Median (LML) and Left Lateral Lobe (LLL)) and the right stem to the Right Lobe (RL) were li...
Python Source Code - 3.2 KB - MD5: 069279f5c3f88174e068fb86fead4956
Tabular Data - 975.4 KB - 5 Variables, 22145 Observations - UNF:6:sQocf/P7vdAmWMQR6rEEJw==
ZIP Archive - 253.7 KB - MD5: ab623a378ff0a0b286e75ed76379cc92
Apr 8, 2024
Höpfl, Sebastian, 2024, "Bayesian Modeling of Time Series Data (BayModTS)", https://doi.org/10.18419/DARUS-3876, DaRUS, V1
BayModTS is a FAIR workflow for processing highly variable and sparse data. The code and results of the examples in the BayModTS paper are stored in this repository. A maintained version of BayModTS that can be applied to your personal applications can be found on Git Hub.
ZIP Archive - 810.7 MB - MD5: 71bbc489782cf6c1cde7d22ad272167a
BayModTS results of the steatosis application using a broader prior for validation.
ZIP Archive - 794.7 MB - MD5: 59ebfc89816bc3c3ce5c5dcea77237b4
PEtab files and results of the BayModTS steatosis application.
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