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We developed a data-mining and visualization approach to analyze the mode-of-action (MOA) of a set of drugs. Starting from wide-genome expression data ...
Abstract. We developed a data-mining and visualization approach to analyze the mode-of-action (MOA) of a set of drugs. Starting from wide- genome expression ...
We developed a data-mining and visualization approach to analyze the mode-of-action (MOA) of a set of drugs. Starting from wide-genome expression data ...
This study identifies strikingly contrasting dose-dependent actions of small molecules on neural cells, which would not otherwise be predicted from their known ...
Feb 16, 2023 · Connectivity mapping [1] refers to the process of drug repositioning by finding candidate drugs that best reverse the expression changes caused ...
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Mar 2, 2021 · In this study, we integrated cancer type, drug treatment, and survival data with RNA-seq gene expression data from The Cancer Genome Atlas to ...
Nov 20, 2023 · DRMref serves as a unique single-cell-based resource for studying drug resistance, drug combination therapy and discovering novel drug targets.
geWorkbench offers a number of visualizations, including titration curves, heat maps, and network displays of drug mechanisms of action. Please note that the ...
Aug 24, 2023 · We developed SparseGO, a sparse and interpretable neural network, for predicting drug response in cancer cell lines and their Mechanism of Action (MoA).
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Nov 30, 2017 · The Connectivity Map, or CMap, is a functional reference dataset of the human genome that connects genes, drugs, and disease states through ...