Unsupervised cluster analysis and subset characterization of abnormal erythropoiesis using the bioinformatic Flow-Self Organizing Maps algorithm.

Anna Porwit Despoina ViolidakiOlof AxlerFrancis LacombeMats EhingerMarie Christine Bene

Published in: Cytometry. Part B, Clinical cytometry (2022)

Unsupervised clustering analysis of MFC data discloses subtle alterations in erythropoiesis not detectable by cytology nor FCM supervised analysis. This novel AI analytical approach sheds some new light on the pathophysiology of these conditions.

Keyphrases

machine learning
artificial intelligence
big data
deep learning
mass spectrometry
single cell
rna seq
ultrasound guided
fine needle aspiration