FlowFP: A Bioconductor Package for Fingerprinting Flow Cytometric Data
Support Vector Machine classification of AML versus Normal. The classifier was trained with 21 AML and 21 Normal Instances (left-most two regions). The classifier was then used to blindly predict class probabilities for the test set of 21 AML and 288 Normal instances (the right-most region). Ground-truth class assignments are indicated by color, red for AML and blue for Normal. The probability range 0-1 was divided into three equal regions. Instances falling into the lower third were classified as AML, in the upper third as Normal, and in the middle as Uncertain “?”.
Article of the Year Award: Outstanding research contributions of 2020, as selected by our Chief Editors. Read the winning articles.