Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology
Single-cell and spatial transcriptomics
This cluster of papers focuses on the comprehensive integration and analysis of single-cell transcriptomic data, covering topics such as cell types, spatial profiling, lineage tracking, data integration, gene expression, and cell heterogeneity. The research explores various technologies and computational methods to study the transcriptomic landscape at the single-cell level.
183.9K works worldwide1.4M citations
Single-CellTranscriptomicsRNA-SeqCell TypesSpatial ProfilingLineage TrackingData IntegrationGene ExpressionCell HeterogeneityDroplet-based Sequencing
Journals publishing in this area
Articles on Scinovex in this research area
7 articles, most cited first
- An AI-enabled single-cell approach to analyze the cancer immune microenvironmentInternational Journal of Biology Sciences · 2025 · 1 citations · AI summary
- Spatial transcriptomics reveals region-specific gene expression patterns in the mouse brain using 10x visiumInternational Journal of Advanced Biochemistry Research · 2026 · 0 citations
- A hybrid machine learning model for crop yield prediction based on meteorological data and pesticide informationInternational Journal of Agriculture Extension and Social Development · 2025 · 0 citations
- Flow cytometry in veterinary science: A comprehensive reviewInternational Journal of Veterinary Sciences and Animal Husbandry · 2025 · 0 citations
- RNA sequencing technologies: Applications in understanding infectious diseasesInternational Journal of Biology Sciences · 2025 · 0 citations · AI summary
- Single-cell transcriptomics reveals heterogeneity in tumor-infiltrating lymphocyte populationsInternational Journal of Biology Sciences · 2025 · 0 citations · AI summary
- Spatial transcriptomics mapping of gene expression in developing mouse brain cortexInternational Journal of Biology Sciences · 2025 · 0 citations · AI summary