Sandra Van Schaeybroeck

A Machine Learning Platform to Optimize the Translation of Personalized Network Models to the Clinic.

Markus Rehm, Mark Lawler, Manuel Salto-Tellez, 2019, JCO clinical cancer informatics.

Identification of Galanin and Its Receptor GalR1 as Novel Determinants of Resistance to Chemotherapy and Potential Biomarkers in Colorectal Cancer

Puthen V. Jithesh, Wendy L. Allen, Sandra Van Schaeybroeck, 2012, Clinical Cancer Research.

Challenging the Cancer Molecular Stratification Dogma: Intratumoral Heterogeneity Undermines Consensus Molecular Subtypes and Potential Diagnostic Value in Colorectal Cancer

Mark Lawler, Wendy L. Allen, Darragh G. McArt, 2016, Clinical Cancer Research.

A Stepwise Integrated Approach to Personalized Risk Predictions in Stage III Colorectal Cancer

Mark Lawler, Manuel Salto-Tellez, Pierre Laurent-Puig, 2016, Clinical Cancer Research.

Connectivity mapping using a combined gene signature from multiple colorectal cancer datasets identified candidate drugs including existing chemotherapies

Qing Wen, Mark Lawler, Manuel Salto-Tellez, 2015, BMC Systems Biology.

Epidermal Growth Factor Receptor Activity Determines Response of Colorectal Cancer Cells to Gefitinib Alone and in Combination with Chemotherapy

Sandra Van Schaeybroeck, Daniel Longley, D. Longley, 2005, Clinical Cancer Research.

Immune-Derived PD-L1 Gene Expression Defines a Subgroup of Stage II/III Colorectal Cancer Patients with Favorable Prognosis Who May Be Harmed by Adjuvant Chemotherapy

Mark Lawler, Wendy L. Allen, Darragh G. McArt, 2016, Cancer Immunology Research.

BCL-2 system analysis identifies high-risk colorectal cancer patients

Manuel Salto-Tellez, Pierre Laurent-Puig, Jochen H M Prehn, 2016, Gut.