Evidence map›Paper›PMID 37842097›Full record

ArticleThe annals of applied statistics2022

NETWORK DIFFERENTIAL CONNECTIVITY ANALYSIS.

Sen Zhao, Ali Shojaie

Abstract 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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. NETWORK DIFFERENTIAL CONNECTIVITY ANALYSIS.The annals of applied statistics · 2022
    Article
  4. Differential Network Analysis: A Statistical Perspective.Wiley interdisciplinary reviews. Computational statistics
    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

2 authors.

Sen ZhaoGoogle Research, Google LLC.
Ali ShojaieDepartment of Biostatistics, University of Washington.

Funding

Machine Learning Tools for Discovery and Analysis of Active Metabolic PathwaysR01GM114029 · NIGMS · UNIVERSITY OF WASHINGTON · PI SHOJAIE, ALI · 2016 to 2020
$1.7M
Novel Statistical Inference for Biomedical Big DataR01GM133848 · NIGMS · UNIVERSITY OF WASHINGTON · PI SHOJAIE, ALI · 2020 to 2023
$1.7M
Systems Biology Analysis of Cardiac Electrical Activity and Arrhythmias.R01HL141989 · NHLBI · UNIVERSITY OF WASHINGTON · PI ARKING, DAN E, SHOJAIE, ALI · 2019 to 2020
$968k
NHLBI NIH HHS R01 HL141989NIGMS NIH HHS R01 GM114029NIGMS NIH HHS R01 GM133848
6 · The paper itself

Abstract

Identifying differences in networks has become a canonical problem in many biological applications. Existing methods try to accomplish this goal by either directly comparing the estimated structures of two networks, or testing the null hypothesis that the covariance or inverse covariance matrices in two populations are identical. However, estimation approaches do not provide measures of uncertainty, e.g.,

Indexed as

biological networksdifferential connectivityhigh-dimensional datalassosignificance test

Identifiers

PMID37842097
PMCPMC10569671

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.