Molecular characterization of breast and lung tumors by integration of multiple data types with functional sparse-factor analysis
Fig 7
Sparse-factor analysis on the TCGA lung cancer dataset.
A: Explained variance per data type and factor. B: B.1 shows the t-SNE map of all lung tumors with red denoting the Adenocarcinomas and blue the Squamous Cell Carcinomas. With the tumors in the same positions as in B.1, B.2 depicts the subtyping as proposed by Wilkerson and colleagues [21, 22]. The remaining panels show the tumors in the same positions as the first two maps, but colored according to the value of the represented factor in each tumor.