Search Results for "model"

Model-based Analysis of Genome-wide CRISPR-Cas9 Knockout (MAGeCK) is a computational tool to identify important genes from the recent genome-scale CRISPR-Cas9 knockout screens technology. For instructions and documentations, please refer to the wiki page. MAGeCK is developed by Wei Li and Han Xu from Dr. Xiaole Shirley Liu's lab at Dana-Farber Cancer Institute/Harvard School of Public Health, and is maintained by Wei Li lab at Children's National Medical Center. We thank the support from...

The Development System for Auditory Modelling (DSAM) is a computational library designed specifically for producing simulations of the auditory system. It brings together many established auditory models within a flexible programming platform.

... technique. The main MRiLab simulation platform combined with those toolboxes can be applied to customize various virtual MR experiments which can serve as a prior stage for prototyping and testing new MR technique and application. If you find MRiLab useful for your work, please cite this paper: Fast Realistic MRI Simulations Based on Generalized Multi-Pool Exchange Tissue Model. IEEE Transactions on Medical Imaging. 2016. doi: 10.1109/TMI.2016.2620961

Ogles strives to provide an open source data model for neuroscientific data visualization and analytics. Ogles started out as a planning system for frame based stereotactic neurosurgery. Ogles(1) is discontinued. Release candidate (RC) is Ogles2b. Ogles is accompanied by a simple DICOM reader and NIfTI converting tool (Sdr2).

... filters. Zinc model data structures are dynamic, supporting interactive applications which programmatically create, destroy and modify parts of models.

This project aims the requirement of managed informations / documents in the treatment of patients, i.e. integrated care. The underlaying data model implements standards of electronic health recording, the project is based on a SQL db and Java EE framework. This is currently a student driven project for educational purposes.

CUDA-SPHERE-FWD-MEEG is a CUDA C based toolkit which provides a GPU based implementation of the spherical model forward solution for the 306 channel Elekta Neuromag MEG system and the EEG. The 1-Sphere forward solution for the MEG and the 4-Sphere forward solution for the EEG is implemented in CUDA C and an accelerated solution is obtained using the NVIDIA GPU when the solution is calculated for a large number of dipoles (on the order of 15000 and above) and sensor locations. Speedup...

Research code for continuous 3D medial modeling targeted towards anatomical objects. Includes an OpenGL viewer and individual and population-based model fitting tools.