Evidence map›Paper›PMID 32269754›Full record

ArticleF1000Research2019

Interactive Clustered Heat Map Builder: An easy web-based tool for creating sophisticated clustered heat maps.

Michael C Ryan, Mark Stucky, Chris Wakefield, James M Melott, Rehan Akbani, John N Weinstein, Bradley M Broom

Abstract read
In one paragraph

Article in F1000Research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing 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

46 citing papers in PubMed.

  1. Vitiligo Information Resource database v3.NPJ systems biology and applications · 2026
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  8. Review
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  15. Novel TLR2 agonist Amuc_C derived fromAnimal cells and systems · 2025
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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.

Michael C RyanIn Silico Solutions, Fairfax, VA, 22031, USA.ORCID 0000-0003-4585-7174
Mark StuckyIn Silico Solutions, Fairfax, VA, 22031, USA.
Chris WakefieldDepartment of Bioinformatics and Computational Biology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
James M MelottDepartment of Bioinformatics and Computational Biology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Rehan AkbaniDepartment of Bioinformatics and Computational Biology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
John N Weinstein *Department of Bioinformatics and Computational Biology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Bradley M Broom *Department of Bioinformatics and Computational Biology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID 0000-0002-0915-3164

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Kathrin Milbury · 1985 to 2026
$290.8M
Integrative Pipeline for Analysis & Translational Application of TCGA Data (GDAC)U24CA143883 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI AKBANI, REHAN, MILLS, GORDON B. · 2009 to 2016
$10.6M
Next-Generation Clustered Heat Maps for fluent, interactive exploration of omic data: Cloud Pilot SupplementU24CA199461 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI BROOM, BRADLEY MCINTOSH, WEINSTEIN, JOHN N · 2015 to 2019
$2.7M
Batch effects in molecular profiling data on cancers: detection, quantitation, interpretation, and correctionU24CA210949 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI AKBANI, REHAN, MILLS, GORDON B. · 2016 to 2020
$1.9M
Integrated analysis of protein expression data from the Reverse Phase Protein Array (RPPA) platformU24CA210950 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI AKBANI, REHAN, MILLS, GORDON B. · 2016 to 2020
$1.8M
NCI NIH HHS P30 CA016672NCI NIH HHS U24 CA143883NCI NIH HHS U24 CA199461NCI NIH HHS U24 CA210949NCI NIH HHS U24 CA210950
6 · The paper itself

Abstract

Clustered heat maps are the most frequently used graphics for visualization and interpretation of genome-scale molecular profiling data in biology.  Construction of a heat map generally requires the assistance of a biostatistician or bioinformatics analyst capable of working in R or a similar programming language to transform the study data, perform hierarchical clustering, and generate the heat map.  Our web-based Interactive Heat Map Builder can be used by investigators with no bioinformatics experience to generate high-caliber, publication quality maps.  Preparation of the data and construction of a heat map is rarely a simple linear process.  Our tool allows a user to move back and forth iteratively through the various stages of map generation to try different options and approaches.  Finally, the heat map the builder creates is available in several forms, including an interactive Next-Generation Clustered Heat Map that can be explored dynamically to investigate the results more fully.

Indexed as

Hot TemperatureComputational BiologyGenomeInternetProgramming LanguagesBioinformaticsGenomicsHeat MapHierarchical ClusteringWebsiteWeb Tool

Identifiers

PMID32269754
PMCPMC7111501

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.