Annotated timeseries from yeast cell lifespans - Training and Test sets - DetecDiv (id03)

This dataset represents timeseries lables of cell divisions, to train &amp; test a classifier to detect cell-cycle slowdown.<br> It has been generated by manual annotation from yeast cells lifespans using the DetecDiv software (see below). It is made of 1 file containing : Groundtruth Input data (Xdata): 250 timeseries of classes "1. unbudded", "2. small", "3. large", "4. dead", "5. empty", "6. clog" which are outputs from the doi.org/10.5281/zenodo.5553862 network Groundtruth outputdata (Ydata): 250 timeseries of classes "1. pre-slowdown", "2. post-slowdown", which have been annotated manually. The indexes from the Xdata correspond to that of the Ydata. Timeseries from 1-&gt;200 were used as training while 201-&gt;250 were used as validation. It is related to the trained network doi.org/10.5281/zenodo.5553829 from the software DetecDiv: github.com/gcharvin/DetecDiv biorxiv.org/content/10.1101/2021.10.05.463175v1 <strong>Data type</strong>: Vector timeseries (.mat) (250xF with F the number of frames, between 700 and 1000). <strong>File format</strong>: .mat <strong>Author(s)</strong>: Théo, ASPERT <strong>Contact email</strong>: [e-mail] <strong>Affiliation</strong>: IGBMC, Université de Strasbourg <strong>Funding bodies</strong>: This work was supported by the Agence Nationale pour la Recherche, the grant ANR-10-LABX-0030-INRT, a French State fund managed by the Agence Nationale de la Recherche under the frame program Investissements d'Avenir ANR-10-IDEX-0002-02.