This article is part of the supplement: Italian Society of Bioinformatics (BITS): Annual Meeting 2013: Bioinformatics

Open Access Research

Use of Attribute Driven Incremental Discretization and Logic Learning Machine to build a prognostic classifier for neuroblastoma patients

Davide Cangelosi1, Marco Muselli2, Stefano Parodi2, Fabiola Blengio1, Pamela Becherini1, Rogier Versteeg3, Massimo Conte4 and Luigi Varesio1*

Author Affiliations

1 Laboratory of Molecular Biology, Gaslini Institute, Largo Gaslini 5, 16147 Genoa, Italy

2 Institute of Electronics, Computer and Telecommunication Engineering, National Research Council of Italy, Genoa 16149, Italy

3 Department of Human Genetics, Academic Medical Center, University of Amsterdam, Meibergdreef 15, Amsterdam 1100, The Netherlands

4 Department of Hematology-Oncology, Gaslini Institute, Largo Gaslini 5, Genoa 16147, Italy

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BMC Bioinformatics 2014, 15(Suppl 5):S4  doi:10.1186/1471-2105-15-S5-S4

Published: 6 May 2014

Additional files

Additional file 1:

Title of data: Batch effect and LLM prediction performance. Description of data: the file contains a table showing the influence of batch effect on LLM prediction performance. Additional file 1. Table 1. Influence of batch effect on LLM prediction performance. The table shows the influence of batch effect calculated on accuracy, recall, precision, and specificity and NPV measures. Performances are comparable removing batch effect from the dataset.

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