Prediction and precise diagnosis of diseases by data pattern analysis in multiparameter flow cytometry: Melanoma, juvenile asthma, and human immunodeficiency virus infection
- 1 January 2001
- book chapter
- Published by Elsevier
- Vol. 64, 487-508
- https://doi.org/10.1016/s0091-679x(01)64026-3
Abstract
No abstract availableKeywords
This publication has 19 references indexed in Scilit:
- Some theoretical and practical considerations for multivariate statistical cell classification useful in autologous stem cell transplantation and tumor cell purgingCytometry, 1999
- Variable selection and multivariate methods for the identification of microorganisms by flow cytometryCytometry, 1999
- Overtraining and immune system: a prospective longitudinal study in endurance athletesMedicine & Science in Sports & Exercise, 1998
- Methodological aspects of using decision trees to characterise leiomyomatous tumorsCytometry, 1996
- Application of neural networks to flow cytometry data analysis and real-time cell classificationCytometry, 1996
- Classification and regression trees for bone marrow immunophenotypingCytometry, 1995
- A knowlewldge-based system for the interpretation of flow cytometry data in leukemias and lymphomasCytometry, 1994
- Neural network analysis of flow cytometric data for 40 marine phytoplankton speciesCytometry, 1994
- Analyzing multivariate flow cytometric data in aquatic sciencesCytometry, 1992
- Use of a neural net computer system for analysis of flow cytometric data of phytoplankton populationsCytometry, 1989