76 research outputs found
Data Mining Approaches to Diffuse Large BâCell Lymphoma Gene Expression Data Interpretation
This paper presents a comprehensive study of gene expression patterns originating from a diffuse large Bâcell lymphoma (DLBCL) database. It focuses on the implementation of feature selection and classification techniques. Thus, it firstly tackles the identification of relevant genes for the prediction of DLBCL types. It also allows the determination of key biomarkers to differentiate two subtypes of DLBCL samples: Activated BâLike and Germinal Centre BâLike DLBCL. Decision trees provide knowledgeâbased models to predict types and subtypes of DLBCL. This research suggests that the data may be insufficient to accurately predict DLBCL types or even detect functionally relevant genes. However, these methods represent reliable and understandable tools to start thinking about possible interesting nonâlinear interdependencies
Epidemiology and secular trends of malignant lymphoma in Japan: Analysis of 9426 cases according to the World Health Organization classification
Abstract This study provides an overview of the epidemiology and secular trends of malignant lymphoma in Japan. Using data from clinics and hospitals throughout Japan, we analyzed 9426 cases of malignant lymphoma diagnosed in 2007â2014. We show that the proportion of follicular lymphoma and methotrexateâassociated lymphoproliferative disorder increased during this time, as did the onset age for follicular lymphoma and diffuse large Bâcell lymphoma. Significant increases in onset age for follicular lymphoma and diffuse large Bâcell lymphoma were observed in both men and women (all P values <0.0001 except for PÂ =Â 0.0448 for the latter disease in women). Further studies are required to determine the reasons for the higher proportion of and onset age for these lymphomas. Additionally, we believe that continued observation of these trends is necessary
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