This important study describes a deep learning framework that analyzes single-cell RNA data to identify a tumor-agnostic gene signature associated with brain metastases. The identified signature ...

Matching: Look for a graph where vectors generally point to the left in the right half-plane ( x > 0) and to the right in the ...

We describe how to run each of these three modules at a per-run level. To reproduce the main experiments in our paper (summarized in Section 6 and Appendix G), go to step 4. This will save the data ...

Abstract: We proposed a multimodal machine learning approach to identify fake accounts on social media platforms. First, we employed Support Vector Machine (SVM) to analyze the activity status of ...

This project is a GIS-based Streamlit application for identifying optimal sites for renewable energy development (solar, wind, hydro) using a weighted raster overlay model. Upload and process raster ...