Accurate diagnosis of prostate cancer using logistic regression
Abstract: A new logistic regression-based method to distinguish between cancerous and noncancerous RNA genomic data is developed and tested with 100% precision on 595 healthy and cancerous prostate samples. A logistic regression system is developed and trained using whole-exome sequencing data at a high-level, i.e., normalized quantification of RNAs obtained from 495 prostate cancer samples from The Cancer Genome Atlas and 100 healthy samples from the Genotype-Tissue Expression project. We could show that both sensitivity and specificity of the method in the classification of cancerous and noncancerous cells are perfectly 100%.
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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Accurate diagnosis of prostate cancer using logistic regression ; volume:16 ; number:1 ; year:2021 ; pages:459-463 ; extent:5
Open medicine ; 16, Heft 1 (2021), 459-463 (gesamt 5)
- Urheber
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Hooshmand, Arash
- DOI
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10.1515/med-2021-0238
- URN
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urn:nbn:de:101:1-2022092014082574332625
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:22 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Beteiligte
- Hooshmand, Arash
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