Literature DB >> 24519383

HUM calculator and HUM package for R: easy-to-use software tools for multicategory receiver operating characteristic analysis.

Natalia Novoselova1, Cristina Della Beffa2, Junxi Wang2, Jialiang Li2, Frank Pessler2, Frank Klawonn1.   

Abstract

UNLABELLED: Receiver operating characteristic (ROC) analysis is usually applied in bioinformatics to evaluate the abilities of biological markers to differentiate between the presence or absence of a disease. It includes the derivation of the useful scalar performance measure area under the ROC curve for binary classification tasks. As real applications often deal with more than two classes, multicategory ROC analysis and the corresponding hypervolume under the manifold (HUM) measure have become a topic of growing interest. To support researchers in carrying out multicategory ROC analysis, we have developed two tools in different programming environments which feature user-friendly, object-oriented and flexible interfaces and enable the user to compute HUM values and plot 2D- and 3D-ROC curves. AVAILABILITY: The software is freely available from our Web site http://public.ostfalia.de/∼klawonn/HUM.htm
© The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Mesh:

Year:  2014        PMID: 24519383     DOI: 10.1093/bioinformatics/btu086

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  4 in total

1.  Rapid discrimination of human oesophageal squamous cell carcinoma by mass spectrometry based on differences in amino acid metabolism.

Authors:  Zhang Jianyong; Xu Jianjun; Ouyang Yongzhong; Liu Junwen; Lu Haiyan; Yu Dongliang; Peng Jinhua; Xiong Junwen; Chen Huanwen; Wei Yiping
Journal:  Sci Rep       Date:  2017-06-16       Impact factor: 4.379

2.  Investigation Of Small Molecular Substances As Potential Biomarkers For Discrimination Of Gastric Tumor.

Authors:  Jianyong Zhang; Qingjun Gao; Xue Luo; Wenxiong Zhang; Nanpeng Wang; Yiping Wei
Journal:  Onco Targets Ther       Date:  2019-10-17       Impact factor: 4.147

3.  Applications of Bayesian shrinkage prior models in clinical research with categorical responses.

Authors:  Subhadip Pal; Riten Mitra; Arinjita Bhattacharyya; Shesh Rai
Journal:  BMC Med Res Methodol       Date:  2022-04-28       Impact factor: 4.612

4.  bcROCsurface: an R package for correcting verification bias in estimation of the ROC surface and its volume for continuous diagnostic tests.

Authors:  Khanh To Duc
Journal:  BMC Bioinformatics       Date:  2017-11-18       Impact factor: 3.169

  4 in total

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