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. Author manuscript; available in PMC: 2020 Jun 1.
Published in final edited form as: Cancer Res. 2017 Nov 1;77(21):e91–e100. doi: 10.1158/0008-5472.CAN-17-0313

Figure 1.

Figure 1.

Data analysis and integration workflow. (A) Cellular morphological feature extraction pipeline. (B) Schematic diagram for gene co-expression analysis and summarization. (C) Integrative analysis of image features with eigengenes. Univariate survival analysis is used for an initial selection of survival-associated variables, and then these variables are used to train a lasso-Cox prognostic model. Correlation between image features and eigengenes is also explored.