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نوع الوثيقة |
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مقال في مجلة دورية |
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عنوان الوثيقة |
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Application of machine learning to proteomics data: classification and biomarker identification in postgenomics biology Application of machine learning to proteomics data: classification and biomarker identification in postgenomics biology |
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لغة الوثيقة |
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الانجليزية |
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المستخلص |
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Mass spectrometry is an analytical technique for the characterization of biological samples and is increasingly used in omics studies because of its targeted, nontargeted, and high throughput abilities. However, due to the large datasets generated, it requires informatics approaches such as machine learning techniques to analyze and interpret relevant data. Machine learning can be applied to MS-derived proteomics data in two ways. First, directly to mass spectral peaks and second, to proteins identified by sequence database searching, although relative protein quantification is required for the latter. Machine learning has been applied to mass spectrometry data from different biological disciplines, particularly for various cancers. The aims of such investigations have been to identify biomarkers and to aid in diagnosis, prognosis, and treatment of specific diseases. This review describes how machine learning has been applied to proteomics tandem mass spectrometry data. This includes how it can be used to identify proteins suitable for use as biomarkers of disease and for classification of samples into disease or treatment groups, which may be applicable for diagnostics. It also includes the challenges faced by such investigations, such as prediction of proteins present, protein quantification, planning for the use of machine learning, and small sample sizes. |
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ردمد |
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1536-2310 |
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اسم الدورية |
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Omics: a journal of integrative biology |
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المجلد |
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17 |
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العدد |
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12 |
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سنة النشر |
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1434 هـ
2013 م |
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نوع المقالة |
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مقالة علمية |
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تاريخ الاضافة على الموقع |
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Tuesday, March 8, 2016 |
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الباحثون
| Anna Louise Swan | Swan, Anna Louise | باحث رئيسي | | |
| Ali Mobasheri | Mobasheri, Ali | باحث مشارك | | |
| David Allaway | Allaway, David | باحث مشارك | | |
| Susan Liddell | Liddell, Susan | باحث مشارك | | |
| Jaume Bacardit | Bacardit, Jaume | باحث مشارك | | |
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