NCutYX: a package for clustering analysis of multilayer omics data.

Sebastian J Teran Hidalgo, Mengyun Wu, Shuangge Ma

Abstract read

In one paragraph

Article in Bioinformatics (Oxford, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

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0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Sebastian J Teran HidalgoDepartment of Biostatistics, Yale University, New Haven, CT, USA.

Mengyun WuSchool of Statistics and Management, Shanghai University of Finance and Economics, Shanghai, China.

Shuangge MaDepartment of Biostatistics, Yale University, New Haven, CT, USA.

Funding

Novel methods for identifying genetic interactions in cancer prognosisR01CA204120 · NCI · YALE UNIVERSITY · PI Shuangge Ma · 2016 to 2026

$3.5M

Assisted Network-based Analysis of Cancer Gene Expression StudiesR03CA216017 · NCI · YALE UNIVERSITY · PI MA, SHUANGGE · 2017 to 2018

$168k

NCI NIH HHS R01 CA204120NCI NIH HHS R03 CA216017

6 · The paper itself

Abstract

summaryMultilayer omics profiling has become a major venue for understanding complex diseases. We develop NCutYX, an R package for clustering analysis of multilayer omics data. The package and methods jointly analyze multiple layers of omics measurements and effectively accommodate their regulations. They systematically conduct a series of analysis based on the normalized cut technique, including the clusterings of subjects and omics measurements and biclustering. The package can be valuable for its timely context, novel methods, and comprehensiveness. AVAILABILITY: https://cran.r-project.org/web/packages/NCutYX/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Identifiers

PMID31730176

DOI10.1093/bioinformatics/btz842

PMCPMC8597621

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.