Eric Chau
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Author Swipe
View article: Supplementary Figure S8. from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment
Supplementary Figure S8. from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment Open
S8. Variable importance for prediction of BCLM CD31+, CD4+PD1+, CD56+, and CD68+ using ML models.
View article: Supplementary Table S18 from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment
Supplementary Table S18 from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment Open
Table S18. Variable Importance for predicting BCLM MMP9+ using primary tumor clusters.
View article: Supplementary Table S9 from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment
Supplementary Table S9 from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment Open
Table S9. Variable Importance for predicting BCLM CD68+ using primary tumor clusters.
View article: Supplementary Table S13 from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment
Supplementary Table S13 from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment Open
Table S13. Variable Importance for predicting BCLM CD8a+PD1+ using primary tumor clusters.
View article: Supplementary Table S21 from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment
Supplementary Table S21 from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment Open
Supplementary Table S21. Variable Importance for predicting BCLM αSMA+ using primary tumor clusters.
View article: Supplementary Figure S2 from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment
Supplementary Figure S2 from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment Open
S2. Heatmap of IMC cluster densities originating from BCLM (top) and primary breast tumors (bottom) after mean aggregation of ROIs.
View article: Supplementary Figure S10 from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment
Supplementary Figure S10 from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment Open
S10. Variable importance for prediction of BCLM Collagen+, E-cad+, HIF1α+, and Ki-67+ using ML models.
View article: Supplementary Figure S3 from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment
Supplementary Figure S3 from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment Open
S3. PLS-DA of primary breast and BCLM IMC ROI data by batch number showing that the batches were homogeneous.
View article: Supplementary Figure S5 from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment
Supplementary Figure S5 from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment Open
S5. PLS-DA score plots of classifying BCLM IMC cluster densities into Low (
View article: Supplementary Table S20 from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment
Supplementary Table S20 from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment Open
Table S20. Variable Importance for predicting BCLM pERK+ using primary tumor clusters.
View article: Supplementary Table S12 from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment
Supplementary Table S12 from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment Open
Table S12. Variable Importance for predicting BCLM CD8a+PD1- using primary tumor clusters.
View article: Supplementary Table S2 from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment
Supplementary Table S2 from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment Open
Table S2. Variable Importance for predicting BCLM CD14+ using primary tumor clusters.
View article: Supplementary Figure S14 from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment
Supplementary Figure S14 from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment Open
S14. AUROC curves of ML models using covariates only to predict BCLM IMC cluster densities as being either above or below median values.
View article: Supplementary Table S14 from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment
Supplementary Table S14 from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment Open
Table S14. Variable Importance for predicting BCLM Collagen+ using primary tumor clusters.
View article: Supplementary Table S17 from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment
Supplementary Table S17 from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment Open
Table S17. Variable Importance for predicting BCLM Ki-67+ using primary tumor clusters.
View article: Supplementary Table S3 from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment
Supplementary Table S3 from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment Open
Table S3. Variable Importance for predicting BCLM CD163+ using primary tumor clusters.
View article: Supplementary Table S6 from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment
Supplementary Table S6 from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment Open
Table S6. Variable Importance for predicting BCLM CD31+ using primary tumor clusters.
View article: Supplementary Table S8 from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment
Supplementary Table S8 from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment Open
Table S8. Variable Importance for predicting BCLM CD56+ using primary tumor clusters.
View article: Supplementary Table S1 from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment
Supplementary Table S1 from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment Open
Table S1. Hyperparameters used for AUROC-optimized Machine Learning models.
View article: Supplementary Figure S7 from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment
Supplementary Figure S7 from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment Open
S7. Variable importance for prediction of BCLM CD14+, CD163+, CD163+MMP9+, and CD206+ using ML models.
View article: Supplementary Table S7 from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment
Supplementary Table S7 from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment Open
Table S7. Variable Importance for predicting BCLM CD4+PD1+ using primary tumor clusters.
View article: Supplementary Table S4 from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment
Supplementary Table S4 from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment Open
Table S4. Variable Importance for predicting BCLM CD163+MMP9+ using primary tumor clusters.
View article: Supplementary Figure S1 from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment
Supplementary Figure S1 from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment Open
S1. Heatmap of IMC cluster densities originating from breast primary and breast cancer liver metastases (BCLM) before mean aggregation of ROIs.
View article: Supplementary Table S10 from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment
Supplementary Table S10 from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment Open
Table S10. Variable Importance for predicting BCLM CD68+CD163+CD206+ using primary tumor clusters.
View article: Supplementary Figure S4 from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment
Supplementary Figure S4 from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment Open
S4. Example of mapping of the annotated phenotype to corresponding segmented cells based on the markers identified by IMC for paired primary tumor and BCLM (patient 15).
View article: Supplementary Figure S12 from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment
Supplementary Figure S12 from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment Open
S12. AUROC achieved by ML models using primary tumor IMC clusters across a variable number of features to predict BCLM IMC cluster densities (as stated in gray box of each panel)
View article: Supplementary Table S15 from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment
Supplementary Table S15 from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment Open
Table S15. Variable Importance for predicting BCLM E-cad+ using primary tumor clusters.
View article: Supplementary Table S11 from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment
Supplementary Table S11 from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment Open
Supplementary Table S11
View article: Supplementary Table S16 from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment
Supplementary Table S16 from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment Open
Supplementary Table S16. Variable Importance for predicting BCLM HIF1α+ using primary tumor clusters.
View article: Supplementary Figure S9 from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment
Supplementary Figure S9 from Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment Open
S9. Variable importance for prediction of BCLM CD68+CD163+CD206+, CD68+MMP9+, CD8a+PD1-, and CD8a+PD1+ using ML models.