Evidence map›Paper›PMID 30482799›Full record

ArticleG3 (Bethesda, Md.)2019

OCMA: Fast, Memory-Efficient Factorization of Prohibitively Large Relationship Matrices.

Zhi Xiong, Qingrun Zhang, Alexander Platt, Wenyuan Liao, Xinghua Shi, Gustavo de Los Campos, Quan Long

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in G3 (Bethesda, Md.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Zhi XiongDepartment of Computer Science, Shantou University, China.
Qingrun ZhangDepartment of Biochemistry and Molecular Biology, University of Calgary, Canada.
Alexander PlattCenter for Computational Genetics and Genomics, Temple University, USA.ORCID 0000-0003-3783-4781
Wenyuan LiaoDepartment of Mathematics and Statistics, University of Calgary, Canada.
Xinghua ShiDepartment of Bioinformatics and Genomics, University of North Carolina at Charlotte, USA.ORCID 0000-0003-4662-3177
Gustavo de Los CamposDepartment of Epidemiology & Biostatistics, Statistics & Probability and Institute for Quantitative Health Science and Engineering, Michigan State University, USA.ORCID 0000-0001-5692-7129
Quan LongDepartment of Biochemistry and Molecular Biology, University of Calgary, Canada quan.long@ucalgary.ca.ORCID 0000-0003-3795-1873

Funding

A Computational Framework for Scalable Epistasis Analysis on High-Dimensional Genomic Data.R15HG009565 · NHGRI · UNIVERSITY OF NORTH CAROLINA CHARLOTTE · PI SELL, SUSAN M · 2017 to 2017
$438k
NHGRI NIH HHS R15 HG009565
6 · The paper itself

Abstract

Matrices representing genetic relatedness among individuals (

Indexed as

GenomicsModels, GeneticAlgorithmsAnimalsBiological Specimen BanksBreedingComputer SimulationGenomeGenotypeHumansPolymorphism, Single NucleotidePrincipal Component AnalysisSoftwareEigen decompositionGene mappingGenetic matricesGenomic selectionGenotype-based phenotype predictionMemory virtualizationSingular value decomposition

Identifiers

PMID30482799
PMCPMC6325911

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.