Single-cell RNA-seq AI analysis has become the default way to make sense of the millions of expression measurements a single experiment can now generate. Turning raw sequencing counts into ...

ML IsolationForest + PyTorch autoencoder anomaly detection · supervised stress-day classifier (logistic + random forest) · semi-supervised label propagation · PCA + KMeans + Marchenko-Pastur denoising ...

Deep probabilistic generative models have achieved incredible success in many fields of application. Among such models, variational autoencoders (VAEs) have proved their ability in modeling a ...