ArticleMethods in molecular biology (Clifton, N.J.)2021
Differential Expression Analysis of Long Noncoding RNAs.
Article in Methods in molecular biology (Clifton, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
2 citing papers in PubMed.
- Interactome of Long Non-Coding RNAs: Transcriptomic Expression Patterns and Shaping Cancer Cell Phenotypes.International journal of molecular sciences · 2023Review
- Noncoding RNAs in apoptosis: identification and function.Turkish journal of biology = Turk biyoloji dergisi · 2022Review
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Long noncoding RNA (lncRNA) expression data have been increasingly used in identifying diagnostic and prognostic biomarkers in clinical studies. Low-expression genes are commonly observed in lncRNA and need to be effectively accommodated in differential expression analysis. In this chapter, we describe a protocol based on existing R packages for lncRNA differential expression analysis, including lncDIFF, ShrinkBayes, DESeq2, edgeR, and zinbwave, and provide an example application in a cancer study. In order to establish guidelines for proper application of these packages, we also compare these tools based on the implemented core algorithms and statistical models. We hope that this chapter will provide readers with a practical guide on the analysis choices in lncRNA differential expression analysis.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.