Heatmap and unsupervised hierarchical clustering of low-risk (adenoma) and high-risk (carcinoma-in-situ) IPMN samples according to the expression of the most differentially expressed miRNAs.
- Jennifer Permuth-Wey (165637)
- Y. Ann Chen (251526)
- Kate Fisher (495303)
- Susan McCarthy (509342)
- Xiaotao Qu (114828)
- Mark C. Lloyd (224880)
- Agnieszka Kasprzak (685122)
- Michelle Fournier (685123)
- Vonetta L. Williams (685124)
- Kavita M. Ghia (685125)
- Sean J. Yoder (140864)
- Laura Hall (272404)
- Christina Georgeades (685126)
- Funmilayo Olaoye (685127)
- Kazim Husain (285140)
- Gregory M. Springett (478701)
- Dung-Tsa Chen (285149)
- Timothy Yeatman (685128)
- Barbara Ann Centeno (685129)
- Jason Klapman (685130)
- Domenico Coppola (53952)
- Mokenge Malafa (685131)
Publication date
January 2015
DOIAbstract
<p>A) The heatmap is supervised, and is ordered by the type of IPMN, and shows the expression for the 25 most deregulated miRNAs. B) Unsupervised hierarchical clustering for the 6 most differentially expressed miRNAs. Expression values for the miRNAs are represented in a matrix format, with columns representing samples and rows representing miRNAs. Low expression values are colored green, and high expression values are colored red. Colored bars indicate the range of normalized log2-based signals. </p
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