Using shRNA experiments to validate gene regulatory networks

التفاصيل البيبلوغرافية
العنوان: Using shRNA experiments to validate gene regulatory networks
المؤلفون: John Quackenbush, Niall Prendergast, Frank Emmert-Streib, Kathleen Fleming, Renee Rubio, Benjamin Haibe-Kains, Catharina Olsen, Gianluca Bontempi
المساهمون: Clinical sciences, Medical Genetics, Informatics and Applied Informatics
المصدر: Genomics Data
Genomics Data, Vol 4, Iss C, Pp 123-126 (2015)
Genomics Data, 4
سنة النشر: 2015
مصطلحات موضوعية: lcsh:QH426-470, Computer science, Gene regulatory network, Inference, Genomics, Microarray, computer.software_genre, Biochemistry, Field (computer science), Small hairpin RNA, shRNA, Data in Brief, Genetics, Gene expression omnibus, Généralités, Accession number (bioinformatics), Colon cancer, lcsh:Genetics, Expression data, Knock-down, ShRNA, Molecular Medicine, Data mining, Gene expression, computer, Biotechnology
الوصف: Quantitative validation of gene regulatory networks (GRNs) inferred from observational expression data is a difficult task usually involving time intensive and costly laboratory experiments. We were able to show that gene knock-down experiments can be used to quantitatively assess the quality of large-scale GRNs via a purely data-driven approach (Olsen et al. 2014). Our new validation framework also enables the statistical comparison of multiple network inference techniques, which was a long-standing challenge in the field.In this Data in Brief we detail the contents and quality controls for the gene expression data (available from NCBI Gene Expression Omnibus repository with accession number GSE53091) associated with our study published in Genomics (Olsen et al. 2014). We also provide R code to access the data and reproduce the analysis presented in this article.
SCOPUS: ar.j
info:eu-repo/semantics/published
وصف الملف: 1 full-text file(s): application/pdf
تدمد: 2213-5960
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a9af5224197252bc87d86416a75cd50aTest
https://pubmed.ncbi.nlm.nih.gov/26484195Test
حقوق: OPEN
رقم الانضمام: edsair.doi.dedup.....a9af5224197252bc87d86416a75cd50a
قاعدة البيانات: OpenAIRE