Nanotechnology

 

1 Results were found on Technologies

Leading Researchers:
2023-0080

Deep Cell-Type Deconvolution From Bulk Gene Expression Data

It is becoming clear that bulk gene expression measurements represent an average over very different cells. Elucidating the expression and abundance of each of the encompassed cells is key to disease understanding and precision medicine approaches. A first step in any such deconvolution is the inference of cell type abundances in the given mixture. To […] Read More >

Prof. Peer Dan

Our lab is studying how to manipulate cells’ functions in order to generate novel strategies to treat inflammatory diseases and cancers. We are combining multidisciplinary approaches including immunology, cell and molecular biology, genetics, protein engineering, material sciences, nanotechnology and computational techniques for drug discovery and potentially for therapeutics. In addition, we are developing nanomedicines by […] Read More >

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