Series Anomaly Inference with Nonlinear Markov to Circumvent Walking a Tightrope
ANIM is a novel probabilistic module based on Nonlinear Markov for the unsupervised time series anomaly inference. 
Portfolios
Multimodal Anomalous Tissue Region Detection Enhanced with Spatial Transcriptomics
MEATRD is a multimodal anomaly detection method that integrates histology image and Spatial Transcriptomics gene expression data. 
Domain Adaptive and Fine-grained Anomaly Detection for Single-cell Sequencing Data and Beyond
ACSleuth is a GAN-based generative model for domain adaptive and fine-grained anomaly detection in the single-cell/tabular data. 
Detecting and Dissecting Anomalous Anatomic Regions in Spatial Transcriptomics with STANDS
STANDS is a GAN-based multi-task deep learning framework, which can detect and dissect anomalous tissue domains (DDATD) with Spatial Transcriptomics or scRNA-seq. 