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## Connectivity
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The CC contains both chemical *and* biological signatures. One of the most interesting features of biological signatures is that they can be *connected* to signatures of biology. This idea was first popularized by the Connectivity Map in the context of gene expression data.
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The CC contains both chemical *and* biological signatures. One of the most interesting features of biological signatures is that they can be *connected* to signatures of biology, opening the way to unsupervised learning. The connectivity idea was first popularized by the [Connectivity Map](https://clue.io/cmap) in the context of gene expression data.
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In we generalize the notion of connectivity to other types of data and provide functionalities to connect small molecules to other biologically-annotated entities such as disease, cell lines or genetic perturbation experiments. Some examples would be:
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In the CC we generalize this notion to other types of data and provide functionalities to connect small molecules to other biologically-annotated entities such as diseases, cell lines or genetic perturbation experiments. Some examples would be:
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* A molecule whose gene expression profile is *opposite* to a disease-characteristic gene expression signature.
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* Simply, a molecule whose targets are *closeby* in protein-protein interaction networks.
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* A molecule whose gene-sensitivity profiles resemble a basal gene expression of a cell line.
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* Simply, a molecule whose targets are *closeby* in protein-protein interaction networks to disease-related genes.
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* A molecule whose gene-sensitivity profiles *resemble* a basal gene expression of a cell line.
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Finding the right connectivity strategy requires a deep understanding of the datasets and, with the CC, we simplify this by manually assigning connectivity functions to each dataset. Some datasets cannot be connected (such as chemical fingerprints), and some others may enjoy different connectivity functions.
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Finding the right connectivity strategy requires a deep understanding of the datasets and, with the CC, we simplify this by pre-assigning connectivity functions to each dataset. Please note that some datasets cannot be connected to biology (e.g. 2D chemical fingerprints), whereas some others can be connected by different means (e.g. reversion/mimicking, global/local, etc.).
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For further information, please refer to:
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For a thorough explanation of the connectivity strategies, please visit:
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* [Connectivity](connectivity)
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## Customary drug discovery tasks
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