jhp038 Goto Github PK
Type: User
Company: University of Rochester
Bio: Scientific Programmer at University of Rochester
Location: Rochester, NY
Type: User
Company: University of Rochester
Bio: Scientific Programmer at University of Rochester
Location: Rochester, NY
Computational toolbox for large scale Calcium Imaging Analysis, including movie handling, motion correction, source extraction, spike deconvolution and result visualization.
This toolbox includes routines for using principal component analysis (PCA) and independent component analysis (ICA) to extract cellular signals from imaging data sets. A full description and validation of the method is provided in the paper, "Automated Analysis of Cellular Signals from Large-Scale Calcium Imaging Data," Neuron, 63:747 (2009): http://tinyurl.com/cellsort
Constrained Nonnegative Matrix Factorization for microEndoscopic data
Python codes for CSC 162 @ University of Rochester
Fashion recommendation project using social media data
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