دورية أكاديمية
أعرض في EDS

Building flexible and robust analysis frameworks for molecular subtyping of cancers.

التفاصيل البيبلوغرافية
العنوان: Building flexible and robust analysis frameworks for molecular subtyping of cancers.
المؤلفون: Pedersen CB; Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark.; Center for Genomic Medicine, Rigshospitalet - Copenhagen University Hospital, Denmark., Campos B; Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark., Rene L; Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark., Wegener HS; Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark., Krishnan NM; School of Biotechnology, Jawaharlal Nehru University, New Delhi, India., Panda B; Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark.; School of Biotechnology, Jawaharlal Nehru University, New Delhi, India.; Special Centre for Systems Medicine, Jawaharlal Nehru University, New Delhi, India., Vitting-Seerup K; Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark., Rossing M; Center for Genomic Medicine, Rigshospitalet - Copenhagen University Hospital, Denmark., Bagger FO; Center for Genomic Medicine, Rigshospitalet - Copenhagen University Hospital, Denmark., Olsen LR; Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark.
المصدر: Molecular oncology [Mol Oncol] 2024 Mar; Vol. 18 (3), pp. 606-619. Date of Electronic Publication: 2024 Jan 07.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: John Wiley & Sons, Inc Country of Publication: United States NLM ID: 101308230 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1878-0261 (Electronic) Linking ISSN: 15747891 NLM ISO Abbreviation: Mol Oncol Subsets: MEDLINE
أسماء مطبوعة: Publication: 2017- : Hoboken, New Jersey : John Wiley & Sons, Inc.
Original Publication: Amsterdam : Elsevier
مواضيع طبية MeSH: Gene Expression Profiling*/methods , Breast Neoplasms*/diagnosis , Breast Neoplasms*/genetics, Humans ; Female ; RNA ; Computational Biology/methods ; Gene Expression Regulation, Neoplastic
مستخلص: Molecular subtyping is essential to infer tumor aggressiveness and predict prognosis. In practice, tumor profiling requires in-depth knowledge of bioinformatics tools involved in the processing and analysis of the generated data. Additionally, data incompatibility (e.g., microarray versus RNA sequencing data) and technical and uncharacterized biological variance between training and test data can pose challenges in classifying individual samples. In this article, we provide a roadmap for implementing bioinformatics frameworks for molecular profiling of human cancers in a clinical diagnostic setting. We describe a framework for integrating several methods for quality control, normalization, batch correction, classification and reporting, and develop a use case of the framework in breast cancer.
(© 2023 The Authors. Molecular Oncology published by John Wiley & Sons Ltd on behalf of Federation of European Biochemical Societies.)
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معلومات مُعتمدة: 8048-00078A Danmarks Frie Forskningsfond; Otto Mønsted Foundation
فهرسة مساهمة: Keywords: bioinformatics workflows; clinical bioinformatics; molecular subtyping; sample classification
المشرفين على المادة: 63231-63-0 (RNA)
تواريخ الأحداث: Date Created: 20231230 Date Completed: 20240311 Latest Revision: 20240311
رمز التحديث: 20240311
مُعرف محوري في PubMed: PMC10920087
DOI: 10.1002/1878-0261.13580
PMID: 38158740
قاعدة البيانات: MEDLINE
الوصف
تدمد:1878-0261
DOI:10.1002/1878-0261.13580