ArticleCell reports methods2022
Profiling intermediate cell states in high resolution.
Article in Cell reports methods, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- Condensates and cell states: A new paradigm for understanding tumor biology.Biophysical journal · 2026Review
- Spatial multi-omics unveils the monoclonal origin, neuroendocrine plasticity, and microenvironment niches in combined small-cell lung cancer.Cell reports. Medicine · 2026Article
- Intermediate cell states in spermatogonial stem cell differentiation: enhancing neurogenesis and angiogenesis in spinal cord injury.European journal of medical research · 2025Article
- Transcriptional networks of transient cell states during human prefrontal cortex development.Frontiers in molecular neuroscience · 2023Article
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Authors and funding
1 author.
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Abstract
Kong et al. present Capybara, a computational method to identify cell states from single-cell gene expression data. Notably, Capybara can identify intermediate cell states and cell state transitions, offering biologists new means with which to interrogate the states and fates of cells.
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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.