In this postgenomic era, the perceived 'failure' of target-based drug discovery (in part owing to the complexities of biological systems and disease pathophysiology) has recently led to the ...

Hi, and thank you for developing BayesPrism, it is an extremely useful tool. I followed the deconvolution tutorial and obtained the Z matrix (bulk × gene × cell type). Now I would like to associate ...

Windows 11 is available for download worldwide. Microsoft has released it as a free upgrade, which means you do not need to pay to upgrade your computer to Windows 11. It is available for free ...

Abstract: We proposed a spherical deconvolution algorithm to recover the multi-fiber structure. We introduced the high order tensor as the fiber orientation distribution function model which is able ...

1 Laboratory of Astrophysics, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland 2 AIM CEA CNRS Université Paris-Saclay Université de Paris, Gif-sur-Yvette, France With the onset ...

Deconvolution is a quantitative approach that uses the picture as an estimate of the real specimen intensity and conducts the mathematical inverse of the imaging process to generate an improved ...

Traceback (most recent call last): File "Codes/Deconvolution/DestVI_pipeline.py", line 52, in <module> scvi.data.setup_anndata(sc_adata, layer="counts", labels_key ...

The kidney is composed of heterogeneous groups of epithelial, endothelial, immune, and stromal cells, all in close anatomic proximity. Spatial transcriptomic technologies allow the interrogation of in ...