Data analysis of yeast screen based on features extracted from cell and compartment segmentation.
Orange NMF is an add-on for Orange data mining software package. It provides widgets that interface Nimfa library for non-negative matrix factorization.
Data analysis of tracked actin patches in yeast. Feature-based representation of trajectories and patch intensities was extracted using U-track software.
The script takes as its input the OMIM morbid map and disease classification into 22 primary disorder classes (see Barabasi paper on the human disease network, PNAS 2007). The classification is based on the physiological system affected by the disorder. The result consists of three networks in Pajek-based format: (A) diseasome bipartite network, (B) human disease network (HDN), (C) disease gene network (DGN).
The script takes as its input an archive of GitHub events (e.g. see http://www.githubarchive.org) and it represents the events in Pajek-based format.
Data analysis of yeast time series to discriminate between cells based on position of associated patches. Characterization of patches via intensity and distance profiles.