GitHub

MethylBERT: A Transformer-based model for read-level DNA methylation pattern identification and tumour deconvolution

MethylBERT is available as a python package. conda create -n methylbert -c conda-forge python=3.11 cudatoolkit==11.8 pip freetype-py conda activate methylbert pip install methylbert conda create -n ...
IEEE

A Generative Diffusion Model to Solve Inverse Problems for Robust in-NICU Neonatal MRI

Abstract: We present the first acquisition-agnostic diffusion generative model for Magnetic Resonance Imaging (MRI) in the neonatal intensive care unit (NICU) to solve a range of inverse problems for ...
IEEE

Gen-GraphEx: Generative In-Distribution Graph Explanations for Time-Efficient Model-Level Interpretability of GNNs

Abstract: Graph neural networks (GNNs) have become the prevailing methodology for addressing graph data-related tasks, permeating critical domains like recommendation systems and drug development. The ...
Frontiers

Differences in immune indicators among normal, high-risk, and esophageal cancer populations and development of a predictive model

Objective: To systematically compare the differences in immune characteristics among three populations (normal group, high-risk group, and esophageal cancer [EC] patients group) and construct a ...