ABPS: An R Package for Calculating the Abnormal Blood Profile Score
The Abnormal Blood Profile Score (ABPS) is used to identify blood doping in sport. It combines seven hematological markers, including hemoglobin level, reticulocytes percent, and haematocrit level, using two different machine learning algorithms in order to create a single score that has a better ab...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2018-11-01
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| Series: | Frontiers in Physiology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/article/10.3389/fphys.2018.01638/full |
| _version_ | 1818571494183141376 |
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| author | Frédéric Schütz Frédéric Schütz Alix Zollinger |
| author_facet | Frédéric Schütz Frédéric Schütz Alix Zollinger |
| author_sort | Frédéric Schütz |
| collection | DOAJ |
| description | The Abnormal Blood Profile Score (ABPS) is used to identify blood doping in sport. It combines seven hematological markers, including hemoglobin level, reticulocytes percent, and haematocrit level, using two different machine learning algorithms in order to create a single score that has a better ability to identify doping than each parameter taken alone. The resulting score allows the detection of several types of doping using a single score and is part of the current Athlete Biological Passport program managed by World Anti-Doping Agency (WADA). We describe ≪ ABPS ≫, an R package that allows the calculation of this score. This is the first software implementation calculating this score that is released publicly. The package also contains functions to calculate the OFF-score (another score used for detection of doping), as well as several test datasets. The package is useful for laboratories conducting anti-doping analyses and for researchers working on anti-doping research projects. In particular, it has been successfully used in projects estimating the prevalence of blood doping. |
| first_indexed | 2024-12-14T13:56:37Z |
| format | Article |
| id | doaj.art-a2c5c10ed9a5489dbb1013deca04625b |
| institution | Directory Open Access Journal |
| issn | 1664-042X |
| language | English |
| last_indexed | 2024-12-14T13:56:37Z |
| publishDate | 2018-11-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Physiology |
| spelling | doaj.art-a2c5c10ed9a5489dbb1013deca04625b2022-12-21T22:58:49ZengFrontiers Media S.A.Frontiers in Physiology1664-042X2018-11-01910.3389/fphys.2018.01638358252ABPS: An R Package for Calculating the Abnormal Blood Profile ScoreFrédéric Schütz0Frédéric Schütz1Alix Zollinger2Bioinformatics Core Facility, SIB Swiss Institute of Bioinformatics, Lausanne, SwitzerlandCenter for Integrative Genomics, University of Lausanne, Lausanne, SwitzerlandBioinformatics Core Facility, SIB Swiss Institute of Bioinformatics, Lausanne, SwitzerlandThe Abnormal Blood Profile Score (ABPS) is used to identify blood doping in sport. It combines seven hematological markers, including hemoglobin level, reticulocytes percent, and haematocrit level, using two different machine learning algorithms in order to create a single score that has a better ability to identify doping than each parameter taken alone. The resulting score allows the detection of several types of doping using a single score and is part of the current Athlete Biological Passport program managed by World Anti-Doping Agency (WADA). We describe ≪ ABPS ≫, an R package that allows the calculation of this score. This is the first software implementation calculating this score that is released publicly. The package also contains functions to calculate the OFF-score (another score used for detection of doping), as well as several test datasets. The package is useful for laboratories conducting anti-doping analyses and for researchers working on anti-doping research projects. In particular, it has been successfully used in projects estimating the prevalence of blood doping.https://www.frontiersin.org/article/10.3389/fphys.2018.01638/fullcode:Ranti-dopingABPSblood dopingmachine learning |
| spellingShingle | Frédéric Schütz Frédéric Schütz Alix Zollinger ABPS: An R Package for Calculating the Abnormal Blood Profile Score Frontiers in Physiology code:R anti-doping ABPS blood doping machine learning |
| title | ABPS: An R Package for Calculating the Abnormal Blood Profile Score |
| title_full | ABPS: An R Package for Calculating the Abnormal Blood Profile Score |
| title_fullStr | ABPS: An R Package for Calculating the Abnormal Blood Profile Score |
| title_full_unstemmed | ABPS: An R Package for Calculating the Abnormal Blood Profile Score |
| title_short | ABPS: An R Package for Calculating the Abnormal Blood Profile Score |
| title_sort | abps an r package for calculating the abnormal blood profile score |
| topic | code:R anti-doping ABPS blood doping machine learning |
| url | https://www.frontiersin.org/article/10.3389/fphys.2018.01638/full |
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