Abstract：
:In modern molecular biology, high-throughput experiments allow the simultaneous study of expression levels of thousands of biopolymers such as mRNAs, miRNAs or proteins. A typical goal of such experiments is to find molecular signatures that can distinguish between different types of tissue or that can predict a therapy outcome. While research typically focuses on just one type of molecular features of a gene, e.g. mRNA expression levels, there is increasing interest in the study of several types of features in parallel, i.e. within the same biological samples. In this manuscript, we aim at elucidating the peculiarities of the combination of mRNA and miRNA expression levels in binary medical classification problems by proposing and comparing different methodologies. The ensuing combined classifiers are evaluated within a simulation study. They are based on linear discriminant analysis, linear support vector machines, as well as on a non-linear classifier. In addition, we compare the performance of the different approaches on real expression data sets. In the simulations as well as in the real data sets, in most though not all cases the combinations yield equal or higher accuracy than the individual classifiers based on only one type of features.
journal_name
Comput Methods Programs Biomedjournal_title
Computer methods and programs in biomedicineauthors
Fuchs M,Beißbarth T,Wingender E,Jung Kdoi
10.1016/j.cmpb.2013.05.013subject
Has Abstractpub_date
2013-09-01 00:00:00pages
592-601issue
3eissn
0169-2607issn
1872-7565pii
S0169-2607(13)00170-3journal_volume
111pub_type
杂志文章abstract：:Patient survival is one of the most important measures of cancer patient care (the diagnosis and treatment of cancer). The optimal method for monitoring the progress of patient care across the full spectrum of provider settings is through the population-based study of cancer patient survival, which is only possible us...
journal_title：Computer methods and programs in biomedicine
pub_type： 杂志文章
doi：10.1016/j.cmpb.2005.08.002
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abstract：BACKGROUND AND OBJECTIVE:This paper presents an improved scheme able to perform accurate segmentation and classification of cancer nuclei in immunohistochemical (IHC) breast tissue images in order to provide quantitative evaluation of estrogen or progesterone (ER/PR) receptor status that will assist pathologists in can...
journal_title：Computer methods and programs in biomedicine
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journal_title：Computer methods and programs in biomedicine
pub_type： 杂志文章
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journal_title：Computer methods and programs in biomedicine
pub_type： 杂志文章
doi：10.1016/j.cmpb.2011.04.003
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journal_title：Computer methods and programs in biomedicine
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journal_title：Computer methods and programs in biomedicine
pub_type： 杂志文章
doi：10.1016/j.cmpb.2011.10.009
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journal_title：Computer methods and programs in biomedicine
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journal_title：Computer methods and programs in biomedicine
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doi：10.1016/j.cmpb.2008.04.001
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journal_title：Computer methods and programs in biomedicine
pub_type： 杂志文章
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journal_title：Computer methods and programs in biomedicine
pub_type： 杂志文章
doi：10.1016/j.cmpb.2007.11.013
更新日期：2008-05-01 00:00:00
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journal_title：Computer methods and programs in biomedicine
pub_type： 杂志文章
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journal_title：Computer methods and programs in biomedicine
pub_type： 杂志文章
doi：10.1016/j.cmpb.2016.07.034
更新日期：2016-10-01 00:00:00
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journal_title：Computer methods and programs in biomedicine
pub_type： 杂志文章
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journal_title：Computer methods and programs in biomedicine
pub_type： 杂志文章
doi：10.1016/j.cmpb.2021.105941
更新日期：2021-01-14 00:00:00
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journal_title：Computer methods and programs in biomedicine
pub_type： 杂志文章
doi：10.1016/j.cmpb.2012.12.004
更新日期：2013-06-01 00:00:00
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journal_title：Computer methods and programs in biomedicine
pub_type： 杂志文章
doi：10.1016/j.cmpb.2004.01.001
更新日期：2004-10-01 00:00:00
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journal_title：Computer methods and programs in biomedicine
pub_type： 杂志文章
doi：10.1016/j.cmpb.2019.04.012
更新日期：2019-07-01 00:00:00
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journal_title：Computer methods and programs in biomedicine
pub_type： 杂志文章
doi：10.1016/s0169-2607(01)00161-4
更新日期：2002-05-01 00:00:00
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journal_title：Computer methods and programs in biomedicine
pub_type： 杂志文章
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journal_title：Computer methods and programs in biomedicine
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journal_title：Computer methods and programs in biomedicine
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journal_title：Computer methods and programs in biomedicine
pub_type： 杂志文章
doi：10.1016/j.cmpb.2016.12.003
更新日期：2017-03-01 00:00:00
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journal_title：Computer methods and programs in biomedicine
pub_type： 杂志文章
doi：10.1016/s0169-2607(00)00086-9
更新日期：2001-01-01 00:00:00
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journal_title：Computer methods and programs in biomedicine
pub_type： 杂志文章
doi：10.1016/j.cmpb.2013.03.018
更新日期：2013-08-01 00:00:00
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journal_title：Computer methods and programs in biomedicine
pub_type： 杂志文章
doi：10.1016/s0169-2607(05)80003-3
更新日期：2005-12-01 00:00:00
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journal_title：Computer methods and programs in biomedicine
pub_type： 杂志文章
doi：10.1016/j.cmpb.2010.12.005
更新日期：2012-09-01 00:00:00
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journal_title：Computer methods and programs in biomedicine
pub_type： 杂志文章,评审
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更新日期：2012-11-01 00:00:00
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journal_title：Computer methods and programs in biomedicine
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journal_title：Computer methods and programs in biomedicine
pub_type： 杂志文章
doi：10.1016/j.cmpb.2017.05.003
更新日期：2017-07-01 00:00:00
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journal_title：Computer methods and programs in biomedicine
pub_type： 杂志文章
doi：10.1016/j.cmpb.2008.10.002
更新日期：2009-04-01 00:00:00
