Thibault E
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Stories - 10
Contextualize your metabolic network using enzymatic data with BIOTA
Adding enzymatic parameters to a metabolic network model helps to improve the accuracy of simulations, to understand underlying mechanisms of reactions and to predict dynamic responses of the system t...
Analyse your data with interactive dashboards using Streamlit!
Streamlit is a widely-used Python package that enables rapid development of data applications. It is renowned for its simplicity and efficiency, making it an ideal tool for creating interactive dashbo...
Single-cell RNA-Seq Analysis Pipeline
In 2023, Batignes et al. published an article intitled "Enhanced Inflammatory Signaling Driven by Metabolic Switch in Aicardi-Goutières Syndrome". Aicardi-Goutières syndrome (AGS) is a genetic ...
PyDESeq2 for differential expression analysis (DEA) with bulk RNA-seq data
PyDESeq2, a Python implementation of the DESeq2 method originally developed in R (click here) , is a versatile tool for conducting differential expressi...
Live tasks - 4
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Imputing missing values with iterative method
Imputation for completing missing values using k-Nearest Neighbors
Univariate imputer for completing missing values with simple strategies
This live tasks shows you how to quickly replace missing values using a descriptive statistic (e.g. mean, median, or most frequent) along each column, or using a constant value. The various stra...
