ArticleGenome biology2023
scTour: a deep learning architecture for robust inference and accurate prediction of cellular dynamics.
Article in Genome biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 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
68 citing papers in PubMed.
- Reference-guided pseudotime inference across species and biological contexts.bioRxiv : the preprint server for biology · 2026Article
- Heterogeneous SPP1-expressing esophageal cancer cells license immunotherapy resistance by organizing an immunosuppressive niche.Neoplasia (New York, N.Y.) · 2026Article
- Focal Cortical Dysplasia Type II: Somatic Mutations, Molecular Mechanisms, and Integrative Multi-Omics Framework.CNS neuroscience & therapeutics · 2026Review
- Article
- Spatial multi omic profiling maps hypoxia-driven pro-fibrotic SPP1Experimental hematology & oncology · 2026Article
- Multi-Omics Integration Identifies a CDH3-Associated Malignant Epithelial State and Immunosuppressive Niche to Predict Prognosis in Thymic Epithelial Tumors.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Myofibroblastic CAF and Malignant Ductal Cell Crosstalk Drives Epithelial-Mesenchymal Transition and Progression in Pancreatic Ductal Adenocarcinoma via THBS2-SDC/Integrin Axes.International journal of molecular sciences · 2026Article
- Comprehensive benchmarking of RNA velocity methods across single-cell datasets.Genome biology · 2026Article
- Late-stage dedifferentiation and epigenetic memory of cancer stem cells in hepatocellular carcinoma.Journal of translational medicine · 2026Article
- Integrative spatiotemporal transcriptomics identifies a liver metastasis-related initial cell population associated with the SEMA3A-NRP1 axis in pancreatic ductal adenocarcinoma.Journal of translational medicine · 2026Article
- Inferring stochastic dynamics by biophysical Neural ODE using single-cell transcriptomics.Nature communications · 2026Article
- Wnt3-mediated fibrosis and carcinogenesis of lung squamous cell carcinoma in idiopathic pulmonary fibrosis.iScience · 2026Article
- Comparison between a conventional tool and deep learning models for RNA velocity analysis of scRNA-Seq data.Molecular genetics and genomics : MGG · 2026Article
- Granzyme B PET Imaging Uncovers Dynamic Patterns of Disease Activity and Therapeutic Response in a Murine Colitis Model.International journal of molecular sciences · 2026Article
- EpCAM supports exit from pluripotency of embryonic stem cells via Eomes.Cell death & disease · 2026Article
- Quantifying stability via count splitting to guide model selection in RNA velocity analyses.bioRxiv : the preprint server for biology · 2026Article
- TargetingJournal for immunotherapy of cancer · 2026Article
- Glycolytic reprogramming mediated by the ADAM12/IGF1 axis promotes ossification of the posterior longitudinal ligament.Cell death discovery · 2026Article
- Integrated single-cell and spatial mapping coupled with machine learning unveils core stemness landscapes and regulatory drivers in triple-negative breast cancer.Discover oncology · 2026Article
- Interpretable learning of temporal cellular dynamics from single-cell data.Cell reports methods · 2026Article
8 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite the continued efforts, a batch-insensitive tool that can both infer and predict the developmental dynamics using single-cell genomics is lacking. Here, I present scTour, a novel deep learning architecture to perform robust inference and accurate prediction of cellular dynamics with minimal influence from batch effects. For inference, scTour simultaneously estimates the developmental pseudotime, delineates the vector field, and maps the transcriptomic latent space under a single, integrated framework. For prediction, scTour precisely reconstructs the underlying dynamics of unseen cellular states or a new independent dataset. scTour's functionalities are demonstrated in a variety of biological processes from 19 datasets.
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.