x_min=int(np.array(df_gene_group.loc[:]["Percent_Patients_mut_and_HLA"],dtype=float).min()*10)/10.00-1.0 if x_min<0: x_min=0 x_max=int(np.array(df_gene_group.loc ...

This is a Python-based tool for creating interactive data visualizations using the Plotly library. With this tool, you can create a wide range of charts, such as line charts, scatter plots, bar charts ...

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Telehealth is now a routine way for patients to access health care services and for providers in remote and other areas to access specialty consults that expand their ability to treat patients in ...

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