يعرض 1 - 10 نتائج من 21 نتيجة بحث عن '"Tuğba Önal-Süzek"', وقت الاستعلام: 1.13s تنقيح النتائج
  1. 1
    دورية أكاديمية
    TCGAnalyzeR: An Online Pan-Cancer Tool for Integrative Visualization of Molecular and Clinical Data of Cancer Patients for Cohort and Associated Gene Discovery

    المؤلفون: Talip Zengin, Başak Abak Masud, Tuğba Önal-Süzek

    المصدر: Cancers, Vol 16, Iss 2, p 345 (2024)

    مصطلحات موضوعية: clinical data integration, cancer subcohort analysis, TCGA data visualization, driver mutations prediction, copy number variations in cancer, transcriptome analysis, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282

    وصف الملف: electronic resource

    Relation: https://www.mdpi.com/2072-6694/16/2/345; https://doaj.org/toc/2072-6694

    URL الوصول: https://doaj.org/article/3a474ee3be214ebc8916d390359ae1ae

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  2. 2
    دورية أكاديمية
    Plasma Concentrations and Cancer-Associated Mutations in Cell-Free Circulating DNA of Treatment-Naive Follicular Lymphoma for Improved Non-Invasive Diagnosis and Prognosis

    المؤلفون: Tevfik Hatipoğlu, Esra Esmeray Sönmez, Xiaozhou Hu, Hongling Yuan, Ayça Erşen Danyeli, Ahmet Şeyhanlı, Tuğba Önal-Süzek, Weiwei Zhang, Burcu Akman, Aybüke Olgun, Sermin Özkal, İnci Alacacıoğlu, Mehmet Ali Özcan, Hua You, Can Küçük

    المصدر: Frontiers in Oncology, Vol 12 (2022)

    مصطلحات موضوعية: follicular lymphoma, liquid biopsy, cfDNA genotyping, targeted ultra-deep sequencing, non-invasive diagnosis, prognosis, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282

    وصف الملف: electronic resource

    Relation: https://www.frontiersin.org/articles/10.3389/fonc.2022.870487/full; https://doaj.org/toc/2234-943X

    URL الوصول: https://doaj.org/article/a97d0c08e61d4d53a4a93208ea840177

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  3. 3
    دورية أكاديمية
    Analysis of genomic and transcriptomic variations as prognostic signature for lung adenocarcinoma

    المؤلفون: Talip Zengin, Tuğba Önal-Süzek

    المصدر: BMC Bioinformatics, Vol 21, Iss S14, Pp 1-28 (2020)

    مصطلحات موضوعية: TCGA, Lung cancer, Lung adenocarcinoma, Differential expression, SNV, CNV, Computer applications to medicine. Medical informatics, R858-859.7, Biology (General), QH301-705.5

    وصف الملف: electronic resource

    Relation: http://link.springer.com/article/10.1186/s12859-020-03691-3; https://doaj.org/toc/1471-2105

    URL الوصول: https://doaj.org/article/c28aa0bfe57842e5a51146d0806bfcf6

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  4. 4
    دورية أكاديمية
    Tissue Microbiome Associated With Human Diseases by Whole Transcriptome Sequencing and 16S Metagenomics

    المؤلفون: Rana Salihoğlu, Tuğba Önal-Süzek

    المصدر: Frontiers in Genetics, Vol 12 (2021)

    مصطلحات موضوعية: neurodegenerative, vagina, tissue microbiome, whole transcriptome, RNA-seq, breast cancer, Genetics, QH426-470

    وصف الملف: electronic resource

    Relation: https://www.frontiersin.org/articles/10.3389/fgene.2021.585556/full; https://doaj.org/toc/1664-8021

    URL الوصول: https://doaj.org/article/ea783a07547d4ade8f7076ed91d7ab08

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  5. 5
    دورية أكاديمية
    Comprehensive Profiling of Genomic and Transcriptomic Differences between Risk Groups of Lung Adenocarcinoma and Lung Squamous Cell Carcinoma

    المؤلفون: Talip Zengin, Tuğba Önal-Süzek

    المصدر: Journal of Personalized Medicine, Vol 11, Iss 2, p 154 (2021)

    مصطلحات موضوعية: TCGA, non-small-cell lung cancer, lung adenocarcinoma (LUAD), lung squamous cell carcinoma (LUSC), differential expression, SNV, Medicine

    وصف الملف: electronic resource

    Relation: https://www.mdpi.com/2075-4426/11/2/154; https://doaj.org/toc/2075-4426

    URL الوصول: https://doaj.org/article/901f2bfdc0ac4e138896813e7cb3d951

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  6. 6
    CompCorona: A Web Portal for Comparative Analysis of the Host Transcriptome of PBMC and Lung SARS-CoV-2, SARS-CoV, and MERS-CoV

    المؤلفون: Rana Salihoğlu, Fatih Saraçoğlu, Mustafa Sibai, Talip Zengin, Başak Abak Masud, Onur Karasoy, Tuğba Önal-Süzek

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::c7b478394f6e9289b7e744c732d1ec4a
    https://doi.org/10.1101/2023.01.21.524927

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  7. 7
    TCGAnalyzeR: a web application for integrative visualization of molecular and clinical data of cancer patients for cohort and associated gene discovery

    المؤلفون: Talip Zengin, Başak Abak Masud, Tuğba Önal-Süzek

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::e86d55498d8ca7f42ec10663643c4513
    https://doi.org/10.1101/2023.01.20.524925

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  8. 8
    A family-centered orthodontic screening approach using a machine learning-based mobile application

    المؤلفون: Banu Kılıç, Ahmed Hassan İbrahim, Selahattin Aksoy, Mehmet Cihan Sakman, Gül Sude Demircan, Tuğba Önal-Süzek

    المساهمون: MÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü, İbrahim, Ahmed Hassan, Aksoy, Selahattin, Sakman, Mehmet Cihan, Önal-Süzek, Tuğba

    مصطلحات موضوعية: Artificial intelligence, Machine learning, Early diagnosis, General Dentistry, Telemedicine

    وصف الملف: application/pdf

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::278d85d20275543fd38511925e264c34
    https://hdl.handle.net/20.500.12809/10740

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  9. 9
    Integration of Clinicopathological And Genomic Features To Predict The Risk Stratification of TCGA Lung Adenocarcinoma And Lung Squamous Cell Carcinoma Patients

    المؤلفون: Mehmet Cihan Sakman, Talip Zengin, Tuğba Önal-Süzek

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::8ef579704992c49c17485a260e1d37f9
    https://doi.org/10.1101/2022.07.14.22277645

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  10. 10
    COMPARATIVE ANALYSIS OF THREE MACHINE LEARNING MODELS FOR EARLY PREDICTION OF SKELETAL CLASS-III MALOCCLUSION FROM PROFILE PHOTOS

    المؤلفون: Banu Kiliç, Tuğba Önal-Süzek, Selahattin Aksoy

    المصدر: Volume: 8, Issue: 2 22-30
    Mugla Journal of Science and Technology

    مصطلحات موضوعية: Engineering, Mühendislik, Class III Malocclusion, Machine Learning, Medical Informatics

    وصف الملف: application/pdf

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c08bb4a0041b6a747aab666571f245ac
    https://dergipark.org.tr/tr/pub/muglajsci/issue/73316/1108397

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