Evidence map›Paper›PMID 31789524›Full record

ArticleJournal of proteome research2020

Comparison of Statistical Tests and Power Analysis for Phosphoproteomics Data.

Lei J Ding, Hannah M Schlüter, Matthew J Szucs, Rushdy Ahmad, Zheyang Wu, Weifeng Xu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of proteome research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

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

5 · Who and what money

Authors and funding

6 authors.

Lei J Ding
Hannah M SchlüterDepartment of Computing , Imperial College London , South Kensington, London SW7 2AZ , United Kingdom.
Matthew J SzucsBroad Institute of MIT and Harvard , 415 Main Street , Cambridge , Massachusetts 02139 , United States.
Rushdy AhmadBroad Institute of MIT and Harvard , 415 Main Street , Cambridge , Massachusetts 02139 , United States.
Zheyang WuDepartment of Mathematical Sciences and Program of Bioinformatics and Computational Biology and Program of Data Science , Worcester Polytechnic Institute (WPI) , 100 Institute Road , Worcester , Massachusetts 01609 , United States.
Weifeng XuORCID 0000-0003-0096-2288

Funding

Experience-Dependent Reorganization of Excitatory Synapse ConnectivityR01MH118298 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI PAN, JEN QIAN, POPESCU, GABRIELA K · 2019 to 2023
$3.3M
NIMH NIH HHS R01 MH118298
6 · The paper itself

Abstract

Advances in protein tagging and mass spectrometry have enabled generation of large quantitative proteome and phosphoproteome data sets, for identifying differentially expressed targets in case-control studies. The power study of statistical tests is critical for designing strategies for effective target identification and control of experimental cost. Here, we develop a simulation framework to generate realistic phospho-peptide data with known changes between cases and controls. Using this framework, we quantify the performance of traditional

Indexed as

Bayes TheoremComputational BiologyComputer SimulationData Interpretation, StatisticalModels, StatisticalPeptidesPhosphoproteinsProteomeProteomicsSample SizePeptidesPhosphoproteinsProteomeBayesian statisticsbioinformaticsempirical variancehierachical simulationmultiplexneuroproteomicsproteomicsquantitative phosphorpoteomicssample sizetwo-sample

Identifiers

PMID31789524
PMCPMC8042666

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.