Analysis of Flow Cytometry Data by Matrix Relevance Learning Vector Quantization - Biehl, Michael; Bunte, Kerstin; Schneider, Petra (PloS one, 2013)
Keywords: Acute myeloid leukemia; Analysis; Artificial Intelligence; Biology; Biomarkers; Classification; Clinical medicine; Computational Biology - methods; Computer applications; Computer Science; Cytometry; Data processing; Datasets; Decision analysis; Decision Support Techniques; Diagnosis; Diagnosis, Computer-Assisted - methods; Dimensional analysis; Distance measurement; Feature extraction; Flow cytometry; Flow Cytometry - methods; Humans; Learning algorithms; Learning vector quantization networks; Leukemia; Leukemia, Myeloid, Acute - diagnosis; Machine learning; Mathematical analysis; Matrix algebra; Matrix methods; Medicine; Myeloid leukemia; Neural networks; Open source software; Patients; Population studies; Skewness; Statistical analysis; Vector quantization; Websites