Mitocheck Data Supplementary Files

<p>This dataset contains all supplementary files related to the <em><a href="https://github.com/WayScience/mitocheck_data">mitocheck_data</a></em> repository that were too large to upload on GitHub.</p> <p>The compressed folders include extracted and normalized single-cell features from the following subsets of the original screen by MitoCheck Consortium:</p> <ul> <li>negative_control_data/ : Nuclei features from negative control cells transfected with scrambled siRNA.</li> <li>positive_control_data/ : Nuclei features from positive control cells transfected with siRNA targeting genes&nbsp;used during&nbsp;mitosis (INCENP, KIF11, COPB1).</li> <li>training_data/ : Nuclei features from cells manually labeled with a phenotypic class by MitoCheck Consortium.</li> </ul> <p>More details for the compressed folders are as follows:</p> <ul> <li>1.idr_streams/extracted_features/ : All <em>IDR_stream</em>-extracted single-cell features (CellProfiler, DeepProfiler, merged) for the data subsets of the original MitoCheck Consortium screen. More information can be found in&nbsp;<a href="https://github.com/WayScience/mitocheck_data/tree/main/1.idr_streams">mitocheck_data/1.idr_streams</a>.</li> <li>3.normalize_data/normalized_data/ :&nbsp;All <em>IDR_stream</em>-extracted single-cell features (CellProfiler, DeepProfiler, merged) normalized with&nbsp;<a href="https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.StandardScaler.html">sklearn.preprocessing.StandardScaler</a>. One StandardScaler was derived from the negative control features and applied to all data subsets. More information can be found in&nbsp;<a href="https://github.com/WayScience/mitocheck_data/tree/main/3.normalize_data">mitocheck_data/3.normalize_data</a>.</li> </ul> <p>The <a href="https://idr.openmicroscopy.org/">Image Data Resource (IDR)</a>&nbsp;hosts all data for the original screen by MitoCheck Consortium under&nbsp;accession idr0013 (screenA). Dr. Jean-Karim Heriche and Dr. Thomas Walter of the MitoCheck Consortium shared the manually-assigned phenotypic class labels used in training_data.</p>