Chronic Lymphocytic Leukemia Patient Clustering Based on Somatic Hypermutation (SHM) Analysis

Author:

Polychronidou Eleftheria,Xochelli Aliki,Moschonas Panagiotis,Papadopoulos Stavros,Hatzidimitriou Anastasia,Vlamos Panayiotis,Stamatopoulos Kostas,Tzovaras Dimitrios

Publisher

Springer International Publishing

Reference20 articles.

1. Damle, R., et al. 1999. Ig V Gene SHM Status and CD38 Expression as Novel Prognostic Indicators in Chronic Lymphocytic Leukemia. Blood 94 (6): 1840–1847.

2. Darzentas, N., et al. 2010. A Different Ontogenesis for Chronic Lymphocytic Leukemia Cases Carrying Stereotyped Antigen Receptors: Molecular and Computational Evidence. Leukemia 24 (1): 125–132.

3. Darzentas, N., and K. Stamatopoulos. 2013. The Significance of Stereotyped B-cell Receptors in Chronic Lymphocytic Leukemia. Hematology/Oncology Clinics of North America 27 (2): 237–250.

4. Ester, M., et al. 1996. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise. Second International Conference on Knowledge Discovery and Data Mining (KDD-96), 226–231. AAAI Press.

5. Lisitsyn, S., et al. 2013. Tapkee: An Efficient Dimension Reduction Library. Journal of Machine Learning Research 14: 2355–2359.

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