ArticleNature methods2010
Not all noise is waste.
Article in Nature methods, 2010. 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
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
4 citing papers in PubMed.
- Robustness of MEK-ERK Dynamics and Origins of Cell-to-Cell Variability in MAPK Signaling.Cell reports · 2016Article
- Dynamic rendering of the heterogeneous cell response to anticancer treatments.PLoS computational biology · 2013Article
- A network-oriented perspective on cardiac calcium signaling.American journal of physiology. Cell physiology · 2012Review
- Embracing noise to improve cross-batch prediction accuracy.BMC systems biology · 2012Article
Corrections and comments
- Comment on
Authors and funding
2 authors.
Funding
Abstract
Stochastic profiling, a method to rank heterogeneity of gene expression in a cell population, shows that quantifying cell-to-cell variability has come of age and leads to biological insight.
Indexed as
Identifiers
20354516What 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.