Evidence map›Paper›PMID 35505906›Full record

ArticleThe annals of applied statistics2022

BIDIMENSIONAL LINKED MATRIX FACTORIZATION FOR PAN-OMICS PAN-CANCER ANALYSIS.

Eric F Lock, Jun Young Park, Katherine A Hoadley

Open access · greenAbstract read
In one paragraph

Article in The annals of applied statistics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.6field-weighted citation impact, top 17% of its field
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

13 citing papers in PubMed, 22 citations in OpenAlex.

  1. Representation Retrieval Learning for Heterogeneous Data Integration.Journal of the American Statistical Association · 2026
    Article
  2. Article
  3. Integrative Analysis of Multimodal Omics Data.Annual review of statistics and its application · 2026
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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

3 authors at 2 institutions in 2 countries.

Eric F LockDivision of Biostatistics, School of Public Health, University of Minnesota.
Jun Young ParkDepartment of Statistical Sciences, Faculty of Arts & Science, University of Toronto.
Katherine A HoadleyDepartment of Genetics, Computational Medicine Program, University of North Carolina.
University of Minnesota · USUniversity of Toronto · CA

Funding

Identifying Biomarkers from Multi-source, Multi-way DataR01GM130622 · NIGMS · UNIVERSITY OF MINNESOTA · PI LOCK, ERIC F · 2019 to 2023
$1.5M
Bidimensional integration for pan-omics pan-cancer analysisR21CA231214 · NCI · UNIVERSITY OF MINNESOTA · PI LOCK, ERIC F · 2018 to 2019
$327k
NCI NIH HHS R21 CA231214NIGMS NIH HHS R01 GM130622
6 · The paper itself

Abstract

Several modern applications require the integration of multiple large data matrices that have shared rows and/or columns. For example, cancer studies that integrate multiple omics platforms across multiple types of cancer,

Indexed as

Cancer genomicsdata integrationlow-rank matrix factorizationmissing data imputationnuclear norm penalization

Identifiers

PMID35505906
PMCPMC9060567
OpenAlexW3004464823

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.