Annotated timeseries from yeast cell lifespans - DetecDiv (id03)
- zenodo.org
binUpdated Feb 14, 2022
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EmailClick to copy linkLink copiedCiteASPERT Théo; ASPERT Théo (2022). Annotated timeseries from yeast cell lifespans - DetecDiv (id03) [Dataset]. http://doi.org/10.5281/zenodo.5553796binAvailable download formatsUnique identifierhttps://doi.org/10.5281/zenodo.5553796Dataset updatedFeb 14, 2022AuthorsASPERT Théo; ASPERT ThéoLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionThis dataset has been generated by manual annotation from yeast cells lifespans using the DetecDiv software (see below) for detecting cell-cycle slowdown.
It has 1 file containing :
- Input data: 200 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: 200 timeseries of classes "1. no cell-cycle slowdown", "2. cell-cycle slowdown", which have been annotated manually.
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
Data type: Vector timeseries (.mat) (250xF with F the number of frames, between 700 and 1000).
File format: .mat
Author(s): Théo, ASPERT
Contact email: theo.aspert@gmail.com
Affiliation: IGBMC, Université de Strasbourg
Funding bodies: 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.
Annotated timeseries from yeast cell lifespans - Training and Test sets -...
- zenodo.org
binUpdated Feb 14, 2022ShareFacebookTwitterEmailClick to copy linkLink copiedCiteASPERT Théo; ASPERT Théo (2022). Annotated timeseries from yeast cell lifespans - Training and Test sets - DetecDiv (id03) [Dataset]. http://doi.org/10.5281/zenodo.6075691binAvailable download formatsUnique identifierhttps://doi.org/10.5281/zenodo.6075691Dataset updatedFeb 14, 2022AuthorsASPERT Théo; ASPERT ThéoLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionThis dataset represents timeseries lables of cell divisions, to train & test a classifier to detect cell-cycle slowdown.
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->200 were used as training while 201->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
Data type: Vector timeseries (.mat) (250xF with F the number of frames, between 700 and 1000).
File format: .mat
Author(s): Théo, ASPERT
Contact email: theo.aspert@gmail.com
Affiliation: IGBMC, Université de Strasbourg
Funding bodies: 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.
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FacebookTwitterEmailAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset has been generated by manual annotation from yeast cells lifespans using the DetecDiv software (see below) for detecting cell-cycle slowdown.
It has 1 file containing :
- Input data: 200 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: 200 timeseries of classes "1. no cell-cycle slowdown", "2. cell-cycle slowdown", which have been annotated manually.
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
Data type: Vector timeseries (.mat) (250xF with F the number of frames, between 700 and 1000).
File format: .mat
Author(s): Théo, ASPERT
Contact email: theo.aspert@gmail.com
Affiliation: IGBMC, Université de Strasbourg
Funding bodies: 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.