LIANA: a LIgand-receptor ANalysis frAmework
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Updated
Aug 7, 2024 - R
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LIANA: a LIgand-receptor ANalysis frAmework
A comprehensive computational pipeline that bridges single-cell genomics and cheminformatics to accelerate Alzheimer's Disease research. This project integrates advanced bioinformatics and machine learning to create a seamless workflow from raw single-cell RNA sequencing data to predictive drug discovery models.
Generate Sankey plots from merged CellChat objects
Retinal ganglion cells regeneration in 2 days post optic nerve crush retina | Lydia Tai | Dong Feng Chen Lab collaboration | Schepens Eye Research Institute, Mass General Hospital, Harvard Medical School
Customize your specific organism cellchatdb
Growth Hormone effect on Cartilage Growth Plate; Light-Sheet Microscopy; Pseudocoloring | Projects I started and still working on in Andrei Chagin Lab | Karolinska Institutet
Socs3/Spp1 Project on Microglia in OIR | Ye Sun Lab Collaboration Project | Boston Children's Hospital
This project analyzes how differences in the mathematical frameworks of CellChat and CellPhoneDB affect cell–cell communication inference from single-cell RNA-seq data in diet-induced liver disease.
Accelerate Alzheimer's Disease research with our AD-scRNA2QSAR pipeline. Transform scRNA-seq data into QSAR models seamlessly. 🌟🛠️
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