ReviewComputational and structural biotechnology journal2020
The computational approaches of lncRNA identification based on coding potential:
Review in Computational and structural biotechnology journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
25 citing papers in PubMed.
- Review
- Utilisation of Machine Learning Approaches Improves RNA-Seq Transcriptome Analyses in Alzheimer's Disease Brain.Journal of molecular neuroscience : MN · 2026Article
- Evaluating computational tools for protein-coding sequence detection: Are they up to the task?RNA (New York, N.Y.) · 2025Article
- Positional frequency chaos game representation for machine learning-based classification of crop lncRNAs.bioRxiv : the preprint server for biology · 2025Article
- Exploration of transcriptional regulation network between buffalo oocytes and granulosa cells and its impact on different diameter follicles.BMC genomics · 2024Article
- PLEKv2: predicting lncRNAs and mRNAs based on intrinsic sequence features and the coding-net model.BMC genomics · 2024Article
- Whole genome discovery of regulatory genes responsible for the response of chicken to heat stress.Scientific reports · 2024Article
- A comprehensive review on lncRNA LOXL1-AS1: molecular mechanistic pathways of lncRNA LOXL1-AS1 in tumorigenicity of cancer cells.Frontiers in oncology · 2024Review
- Review
- Multi-Omics Mining of lncRNAs with Biological and Clinical Relevance in Cancer.International journal of molecular sciences · 2023Review
- Identification and Functional Analysis of Drought-Responsive Long Noncoding RNAs in Maize Roots.International journal of molecular sciences · 2023Article
- Analysis of lncRNAs inNon-coding RNA · 2023Article
- IRSOM2: a web server for predicting bifunctional RNAs.Nucleic acids research · 2023Article
- The hitchhikers' guide to RNA sequencing and functional analysis.Briefings in bioinformatics · 2023Article
- DNABERT-based explainable lncRNA identification in plant genome assemblies.Computational and structural biotechnology journal · 2023Article
- Plant long non-coding RNAs: identification and analysis to unveil their physiological functions.Frontiers in plant science · 2023Review
- Epigenetic modifications: Allusive clues of lncRNA functions in plants.Computational and structural biotechnology journal · 2023Review
- lncRNA-TCONS_00008552 expression in patients with pulmonary arterial hypertension due to congenital heart disease.PloS one · 2023Article
- Advances in the pathogenesis and clinical application prospects of tumor biomolecules in keloid.Burns & trauma · 2022Review
- mComputational and structural biotechnology journal · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Long noncoding RNAs (lncRNAs) make up a large proportion of transcriptome in eukaryotes, and have been revealed with many regulatory functions in various biological processes. When studying lncRNAs, the first step is to accurately and specifically distinguish them from the colossal transcriptome data with complicated composition, which contains mRNAs, lncRNAs, small RNAs and their primary transcripts. In the face of such a huge and progressively expanding transcriptome data, the
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What Socratic holds
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 Socratic graph.