Evidence map›Paper›PMID 38578223›Full record

ArticleJournal of biopharmaceutical statistics2024

An enriched approach to combining high-dimensional genomic and low-dimensional phenotypic data.

Javier Cabrera, Birol Emir, Ge Cheng, Yajie Duan, Demissie Alemayehu, Yauheniya Cherkas

Erratum issuedAbstract read
PubMed Publisher
In one paragraph

Article in Journal of biopharmaceutical statistics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Javier CabreraDepartment of Statistics, Rutgers University, Piscataway Jersey, USA.
Birol EmirStatistical Research and Data Science Center, Pfizer Research & Development, Pfizer Inc, New York, USA.
Ge ChengDepartment of Statistics, Rutgers University, Piscataway Jersey, USA.
Yajie DuanDepartment of Statistics, Rutgers University, Piscataway Jersey, USA.
Demissie AlemayehuStatistical Research and Data Science Center, Pfizer Research & Development, Pfizer Inc, New York, USA.
Yauheniya CherkasStatistics and Decision Sciences Janssen R&D, Pennsylvania, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We describe an approach for combining and analyzing high-dimensional genomic and low-dimensional phenotypic data. The approach leverages a scheme of weights applied to the variables instead of observations and, hence, permits incorporation of the information provided by the low dimensional data source. It can also be incorporated into commonly used downstream techniques, such as random forest or penalized regression. Finally, the simulated lupus studies involving genetic and clinical data are used to illustrate the overall idea and show that the proposed enriched penalized method can select significant genetic variables while keeping several important clinical variables in the final model.

Indexed as

Computer SimulationGenomicsPhenotypeData Interpretation, StatisticalHumansLupus Erythematosus, SystemicModels, StatisticalPolymorphism, Single Nucleotidedimension reductionModel selectionpenalized regressionprecision medicine

Identifiers

PMID38578223

What OpenQuestion holds

Textmetadata
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.