Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively partitioning the data using random split thresholds. Since anomalies are easier to ...

This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...