Time-permitting, we can apply our work to multiple datasets, but it will probably be useful to focus primarily on a single dataset we can all become equally familiar with. We've so far ruled out molecular simulation data and have narrowed our focus to single-cell data. Within single-cell data, we could look at
flow cytometry (quantify up to ~18 proteins per cell, in suspension)
mass cytometry (quantify up to ~50 proteins per cell, in suspension)
imaging mass cytometry (quantify up to ~50 proteins per "pixel," in spatial tissue context)
high-throughput imaging (capture an image of each cell, from which shape features can be extracted)
for example.
Let's choose a single dataset we are all interested in, preferably by March 12, 2015.
Time-permitting, we can apply our work to multiple datasets, but it will probably be useful to focus primarily on a single dataset we can all become equally familiar with. We've so far ruled out molecular simulation data and have narrowed our focus to single-cell data. Within single-cell data, we could look at
Let's choose a single dataset we are all interested in, preferably by March 12, 2015.