ArticleNucleic acids research2020
CReSCENT: CanceR Single Cell ExpressioN Toolkit.
Article in Nucleic acids research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed, 22 citations in OpenAlex.
- Chronic Viral Mimicry Induction following p53 Loss Promotes Immune Evasion.Cancer discovery · 2025Article
- iModEst: disentangling -omic impacts on gene expression variation across genes and tissues.NAR genomics and bioinformatics · 2025Article
- Data Mining of Microarray Datasets in Translational Neuroscience.Brain sciences · 2023Review
- Immunophenotypic correlates of sustained MRD negativity in patients with multiple myeloma.Nature communications · 2023Article
- Interactive analysis of single-cell data using flexible workflows with SCTK2.Patterns (New York, N.Y.) · 2023Article
- Decreased left heart flow in fetal lambs causes left heart hypoplasia and pro-fibrotic tissue remodeling.Communications biology · 2023Article
- Single-cell profiling of multiple myeloma reveals molecular response to FGFR3 inhibitor despite clinical progression.Cold Spring Harbor molecular case studies · 2023Article
- Single-cell biological network inference using a heterogeneous graph transformer.Nature communications · 2023Article
- Evaluation of single-cell RNAseq labelling algorithms using cancer datasets.Briefings in bioinformatics · 2023Article
- scAmpi-A versatile pipeline for single-cell RNA-seq analysis from basics to clinics.PLoS computational biology · 2022Article
- Article
- Antitumor immune effects of preoperative sitravatinib and nivolumab in oral cavity cancer: SNOW window-of-opportunity study.Journal for immunotherapy of cancer · 2021Article
- Tutorial: guidelines for annotating single-cell transcriptomic maps using automated and manual methods.Nature protocols · 2021Review
- Gradient of Developmental and Injury Response transcriptional states defines functional vulnerabilities underpinning glioblastoma heterogeneity.Nature cancer · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
19 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
CReSCENT: CanceR Single Cell ExpressioN Toolkit (https://crescent.cloud), is an intuitive and scalable web portal incorporating a containerized pipeline execution engine for standardized analysis of single-cell RNA sequencing (scRNA-seq) data. While scRNA-seq data for tumour specimens are readily generated, subsequent analysis requires high-performance computing infrastructure and user expertise to build analysis pipelines and tailor interpretation for cancer biology. CReSCENT uses public data sets and preconfigured pipelines that are accessible to computational biology non-experts and are user-editable to allow optimization, comparison, and reanalysis for specific experiments. Users can also upload their own scRNA-seq data for analysis and results can be kept private or shared with other users.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.