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Toplam kayıt 6, listelenen: 1-6
Cryptosporidiosis in Humans with Reference to the First Case of Cryptosporidium hominis Infection in Turkey
(Galenos Yayincilik, 2017)
Aim: Cryptosporidiosis is a worldwide zoonosis. Microscopic examinations may fail due to indistinctive morphological peculiarities of causative species. Hence, molecular diagnostics has become more important. Methods: Stool ...
Highly sensitive impedimetric immunosensor for determination of interleukin 6 as a cancer biomarker by using conjugated polymer containing epoxy side groups modified disposable ITO electrode
(Elsevier B.V., 2020)
A novel impedimetric immunosensor based on a conjugated polypyrrole polymer containing epoxy active side groups (PPCE) modified indium tin oxide (ITO) electrode was developed for detection of interleukin 6 (IL 6), a prostate ...
Electrochemical Immunosensor for Detection of CCR4 Cancer Biomarker in Human Serum: An Alternative Strategy for Modification of Disposable ITO Electrode
(Wiley-VCH Verlag, 2021)
Herein, a new strategy for the fabrication of a sensitive immunosensor capable of determination of CC Chemokine receptor 4 (CCR4) in complex serum samples is developed through the polymer modification on the disposable ...
Bioinformatic Analysis and in Vitro Validation of Let-7b and Let-7c in Breast Cancer
(Elsevier Ltd, 2020)
Members of the let-7 family of miRNAs are well-known with their tumor suppressor properties as they are expressed at low levels in several types of human malignancies. Among them, let-7b and let-7c have gained special ...
A comparison between LP(GMA) and CLP(GMA) polymer composites as an immobilization matrix for biosensing applications: A model immunosensor for IL 1a
(Elsevier B.V., 2019)
A comparative study was made by using two matrices (Linear poly(glycidyl methacrylate) (GMA) polymer (LP(GMA)) and carbon black-polyvinylidene fluoride (PVDF)-LP(GMA) composite CLP(GMA)) as immobilization platforms for ...
A new approach for determining SARS-CoV-2 epitopes using machine learning-based in silico methods
(Elsevier Ltd, 2022)
The emergence of machine learning-based in silico tools has enabled rapid and high-quality predictions in the biomedical field. In the COVID-19 pandemic, machine learning methods have been used in many topics such as ...