The History of the Cluster Heat Map

By Leland Wilkinson, Michael Friendly. 2009

872 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/c0ed51ac44a01990c68fdd009b09fb6e3f231ee9

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In Molecular Biology

Citations in the corpus

heatmaply: an R package for creating interactive cluster heatmaps for online publishing (2017, background): “The ongoing development of this iconic visualization, spanning over more than a century, has provided the foundation for one of the most widely used of all bioinformatics displays (Wilkinson and Friendly, 2009).”
Living Multiples: How Large-scale Scientific Data-mining Pursues Identity and Differences (2013, background): “As sociologists sought to display distributions of social statistics across cities such as Paris (Wilkinson and Friendly, 2009), they coloured the cells of tables to reflect values or categories.”
QIN “Radiomics: The Process and the Challenges” (2012, background): “This cluster heat map is a synthesis of various graphic displays developed by statisticians over more than a century [86].”
Visualizations of Deep Neural Networks in Computer Vision: A Survey (2017, background): “B Heat Maps: Heat maps are a special case of pixel displays, where the value for each pixel represents an accumulated quantity of some kind and is encoded using a specific coloring scheme [73].”
Drawing the PDB: Protein-Ligand Complexes in Two Dimensions. (2010, neutral): “Two-dimensional visualization includes the color-coded comparison of special numerical values ( e.g., heat maps 3 ) as well as the visualization of multimolecular relationships like metabolic networks 4 or molecule depiction on atomic level, for example, by means of structure diagrams.”
Advancing our understanding of the human microbiome using QIIME (2013, methodology): “Another method to visualize the relationships between OTUs and samples is the heatmap, which is widely used for other applications in molecular biology (Wilkinson & Friendly, 2009).”
Make Interactive Complex Heatmaps in R (2021, methodology): “Heatmap is a popular visualization method on a two-dimensional matrix where colors are the major aesthetic elements mapping to data (Wilkinson and Friendly 2009).”
A visual analytics approach to understanding cycling behaviour (2012, neutral): “The vacuum, therefore, presents a fruitful example of the conflict between scientific rationality and immersive impact, a scale that slides between knowing and feeling.”
iPro54-PseKNC: a sequence-based predictor for identifying sigma-54 promoters in prokaryote with pseudo k-tuple nucleotide composition (2014, methodology): “To analyze the contributions of different heptamers in the prediction model, a heat map (85) was provided (Figure 2), which is a graphical representation of a matrix where the elements represent the features and are encoded using different colors according to their F0 i values.”
Sedentary behavior: emerging evidence for a new health risk. (2010, background): “In Figure 2, the variability in sedentary behavior and associated breaks for 3 persons across 1 week is illustrated using cluster heat maps.(23) Case 1 reflects a healthy daily pattern that includes time spent in exercise and intermittent periods of light activity that break up periods of sedentary ”
Too Much Sitting: The Population-Health Science of Sedentary Behavior (2010, background): “To illustrate the overall patterns of activity in adults’ daily lives, Figure 1 shows a cluster heat map (50).”
Radiomics: the facts and the challenges of image analysis (2018, methodology): “This type of analysis is usually depicted by a cluster heat map [17], as shown in Fig.”