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Batch Effect Correction of RNA-seq Data through Sample Distance Matrix Adjustment
Repository for the development of the rbmiUtils package which extends the {rbmi} package for use within clinical trials.
Accepted as [NeurIPS 2024] Spotlight Presentation Paper
DiffuST is a powerful method for spatial transcriptomics denoising, which enables enhanced downstream analysis and provides valuable insights into complex biological systems.
Quasi-Oracle Estimation of Heterogeneous Treatment Effects
Single-cell transcriptome analysis reveals aberrant stromal cells and heterogeneous endothelial cells in alcohol-induced osteonecrosis of the femoral head.
Explainable Machine Learning in Survival Analysis
A small wrapper package that enables full survival curve estimation using xgboost
Step-by-step analysis pipeline for RNA-seq data
Informatics for RNA-seq: A web resource for analysis on the cloud. Educational tutorials and working pipelines for RNA-seq analysis including an introduction to: cloud computing, critical file form…
traversc / trqwe
Performance oriented statistical metrics and utility functions in R
Deep learning-based tissue compositions and cell-type-specific gene expression analysis with tissue-adaptive autoencoder (TAPE)
using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions
A repository for setting up a RNAseq workflow
Early stopping for PyTorch
Neural Network for Polygenic score analysis
A novel unsupervised batch removal framework, called iMAP, based on neural networks.
Online inference for the Hierarchical Dirichlet Process. Fits hierarchical Dirichlet process topic models to massive data. The algorithm determines the number of topics.