PYangLab
A central repository for projects of the Computational Systems Biology (CSB) group.
The University of SydneyAustralia
Pinned Repositories
AdaSampling
Package for positive unlabeled and label noise learning
Cepo
Uncovering cell identity genes using differential stability of expression in single cells.
ClueR
Cluster Evaluation R package (ClueR) for detecting key signaling events from time-series phosphoproteomics data
ESC-multiome
Multi-omic profiling reveals dynamics of the phased progression of pluripotency
KSP-PUEL
Positive-unlabeled ensemble learning for kinase substrate prediction from dynamic phosphoproteomics data
Matilda
Matilda is a multi-task framework for learning from single-cell multimodal omics data. Matilda leverages the information from the multi-modality of such data and trains a neural network model to simultaneously learn multiple tasks including data simulation, dimension reduction, visualization, classification, and feature selection.
PhosR
PhosR is a package for the comprehensive analysis of phosphoproteomic data.
scCCESS
Single-cell Consensus Clusters of Encoded Subspaces
scDeepFeatures
Deep learning-based feature selection for single-cell omics data
SnapCCESS
Ensemble deep learning of embeddings for clustering multimodal single-cell omics data
PYangLab's Repositories
PYangLab/devtools
Tools to make an R developer's life easier
PYangLab/sample_subset_optimization