Supplementary Methods from Selection of Personalized Patient Therapy through the Use of Knowledge-Based Computational Models That Identify Tumor-Driving Signal Transduction Pathways

Henk van Ooijen; Márcia A. Inda; Pantelis Hatzis; Rogier Versteeg; Marcel Smid; John W.M. Martens; John A. Foekens; Paul van de Wiel; Hans Clevers; Anja van de Stolpe; Wim Verhaegh

doi:10.1158/0008-5472.22399220.v1

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Hans Clevers

Utrecht University

Supplementary Methods from Selection of Personalized Patient Therapy through the Use of Knowledge-Based Computational Models That Identify Tumor-Driving Signal Transduction Pathways

Preprint 2023 en

Authors

HO
Henk van Ooijen
MI
Márcia A. Inda
PH
Pantelis Hatzis

Abstract

1 min read

<p>PDF file - 174KB, Details of the modeling approach, selected genes and probesets, and additional results. Also includes supplementary references.</p>

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Supplementary Methods from Selection of Personalized Patient Therapy through the Use of Knowledge-Based Computational Models That Identify Tumor-Driving Signal Transduction Pathways

Abstract

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Related publications

Supplementary Methods from Selection of Personalized Patient Therapy through the Use of Knowledge-Based Computational Models That Identify Tumor-Driving Signal Transduction Pathways

Supplementary Tables 1 - 5 from Selection of Personalized Patient Therapy through the Use of Knowledge-Based Computational Models That Identify Tumor-Driving Signal Transduction Pathways

Supplementary Tables 1 - 5 from Selection of Personalized Patient Therapy through the Use of Knowledge-Based Computational Models That Identify Tumor-Driving Signal Transduction Pathways

Supplementary Figure 1 from Selection of Personalized Patient Therapy through the Use of Knowledge-Based Computational Models That Identify Tumor-Driving Signal Transduction Pathways

Supplementary Figure 1 from Selection of Personalized Patient Therapy through the Use of Knowledge-Based Computational Models That Identify Tumor-Driving Signal Transduction Pathways

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Supplementary Tables 1 - 5 from Selection of Personalized Patient Therapy through the Use of Knowledge-Based Computational Models That Identify Tumor-Driving Signal Transduction Pathways

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Supplementary Figure 1 from Selection of Personalized Patient Therapy through the Use of Knowledge-Based Computational Models That Identify Tumor-Driving Signal Transduction Pathways
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Supplementary Figure 1 from Selection of Personalized Patient Therapy through the Use of Knowledge-Based Computational Models That Identify Tumor-Driving Signal Transduction Pathways
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