Selection of causal gene sets for lymphoma prognostication from expression profiling and construction of prognostic fuzzy neural network models-Reference-Cited by-同舟云学术

Selection of causal gene sets for lymphoma prognostication from expression profiling and construction of prognostic fuzzy neural network models

Published:2003-01 Issue:2 Volume:96 Page:161-167
ISSN:1389-1723
Container-title:Journal of Bioscience and Bioengineering
language:en
Short-container-title:Journal of Bioscience and Bioengineering

Author:

Ando Tatsuya,Suguro Miyuki,Kobayashi Takeshi,Seto Masao,Honda Hiroyuki

Publisher

Elsevier BV

Subject

Applied Microbiology and Biotechnology,Bioengineering,Biotechnology

Reference20 articles.

1. Subclassification of diffuse large B-cell lymphomas according to the Kiel classification: distinction of centroblastic and immunoblastic lymphomas is a significant prognostic risk factor;Engelhard;Blood,1997

2. New approach to classifying non-Hodgkin's lymphomas: clinical features of the major histologic subtypes. Non-Hodgkin's lymphoma classification project;Armitage;J. Clin. Oncol.,1998

3. A predictive model for aggressive non-Hodgkin's lymphoma;The International Non-Hodgkin's Lymphoma Prognostic Factors Project;N. Engl. J. Med.,1993

4. Comparison of a standard regimen (CHOP) with three intensive chemotherapy regimens for advanced non-Hodgkin's lymphoma;Fisher;N. Engl. J. Med.,1993

5. Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Selecting optimum miRNA panel for miRNA signature-based companion diagnostic model to predict the response of R-CHOP treatment in diffuse large B-cell lymphoma;Journal of Bioscience and Bioengineering;2023-04

2. Statistical characterization and classification of colon microarray gene expression data using multiple machine learning paradigms;Cognitive Informatics, Computer Modelling, and Cognitive Science;2020

3. Statistical characterization and classification of colon microarray gene expression data using multiple machine learning paradigms;Computer Methods and Programs in Biomedicine;2019-07

4. Multiple-kernel SVM based multiple-task oriented data mining system for gene expression data analysis;Expert Systems with Applications;2011-09

5. Prediction of non-canonical polyadenylation signals in human genomic sequences based on a novel algorithm using a fuzzy membership function;Journal of Bioscience and Bioengineering;2009-05