TAILIEUCHUNG - Báo cáo sinh học: "Characteristics of predictor sets found using differential prioritization"

Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí y học Molecular Biology cung cấp cho các bạn kiến thức về ngành sinh học đề tài: Characteristics of predictor sets found using differential prioritization. | Algorithms for Molecular Biology BioMed Central Research Characteristics of predictor sets found using differential prioritization Chia Huey Ooi Madhu Chetty and Shyh Wei Teng Open Access Address Gippsland School of Information Technology Monash University Churchill VIC 3842 Australia Email Chia Huey Ooi - Madhu Shyh Wei Teng - Corresponding author Published 4 June 2007 Received 27 September 2006 Algorithms for Molecular Biology 2007 2 7 doi 1748-7188-2-7 Accepted 4 June 2007 This article is available from http content 2 1 7 2007 Ooi et al licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Background Feature selection plays an undeniably important role in classification problems involving high dimensional datasets such as microarray datasets. For filter-based feature selection two well-known criteria used in forming predictor sets are relevance and redundancy. However there is a third criterion which is at least as important as the other two in affecting the efficacy of the resulting predictor sets. This criterion is the degree of differential prioritization DDP which varies the emphases on relevance and redundancy depending on the value of the DDP. Previous empirical works on publicly available microarray datasets have confirmed the effectiveness of the DDP in molecular classification. We now propose to establish the fundamental strengths and merits of the DDP-based feature selection technique. This is to be done through a simulation study which involves vigorous analyses of the .

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