ArticleProceedings of the National Academy of Sciences of the United States of America2022
Latent space of a small genetic network: Geometry of dynamics and information.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- Interpretable decoding of cell fate from a snapshot of combinatorial signaling.bioRxiv : the preprint server for biology · 2026Article
- Generative epigenetic landscapes map the topology and topography of cell fates.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Transition paths across the epithelial-mesenchymal transition landscape are dictated by network logic.Development (Cambridge, England) · 2025Article
- Deriving a genetic regulatory network from an optimization principle.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Chemical waves in reaction-diffusion networks of small organic molecules.Chemical science · 2025Article
- Stable developmental patterns of gene expression without morphogen gradients.PLoS computational biology · 2024Article
- Scale invariance in early embryonic development.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- AI-powered simulation-based inference of a genuinely spatial-stochastic gene regulation model of early mouse embryogenesis.PLoS computational biology · 2024Article
- Scale invariance in early embryonic development.ArXiv · 2023Article
- Functional analysis of the Drosophila eve locus in response to non-canonical combinations of gap gene expression levels.Developmental cell · 2023Article
- How the latent geometry of a biological network provides information on its dynamics: the case of the gene network of chronic myeloid leukaemia.Frontiers in cell and developmental biology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
The high-dimensional character of most biological systems presents genuine challenges for modeling and prediction. Here we propose a neural network-based approach for dimensionality reduction and analysis of biological gene expression data, using, as a case study, a well-known genetic network in the early
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.