Simulating systems genetics data with SysGenSIM.

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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

1. Gene regulatory network reconstruction using Bayesian networks, the Dantzig Selector, the Lasso and their meta-analysis.PloS one · 2011
   Pooled it
2. Predicting the genetic component of gene expression using gene regulatory networks.Bioinformatics advances · 2024
   Article
3. Efficient and accurate causal inference with hidden confounders from genome-transcriptome variation data.PLoS computational biology · 2017
   Article
4. Bayesian network reconstruction using systems genetics data: comparison of MCMC methods.Genetics · 2015
   Article
5. Prediction of Genetic Interactions Using Machine Learning and Network Properties.Frontiers in bioengineering and biotechnology · 2015
   Review
6. Reconstruction of large-scale regulatory networks based on perturbation graphs and transitive reduction: improved methods and their evaluation.BMC systems biology · 2013
   Article
7. An information-theoretic machine learning approach to expression QTL analysis.PloS one · 2013
   Article
8. Teamwork: improved eQTL mapping using combinations of machine learning methods.PloS one · 2012
   Article
9. A bayesian mixed regression based prediction of quantitative traits from molecular marker and gene expression data.PloS one · 2011
   Article

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

Authors and funding

4 authors.

Funding

Abstract

Indexed as