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

Wim Verhaegh; 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

doi:10.1158/0008-5472.22399217.v1

Shared by

Hans Clevers

Utrecht University

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

Dataset en

Authors

WV
Wim Verhaegh
HO
Henk van Ooijen
MI
Márcia A. Inda

Abstract

1 min read

<p>PDF file - 131KB, Wnt target genes and probesets (S1). ER target genes and probesets (S2). Used datasets (S3). Variation in predicted probability of pathway activity between and within cell lines, assessed on dataset E-MTAB-37 (S4). Gene set enrichment analysis results on normal colon samples versus colon adenoma from GSE8671 (S5).</p>

Discussion(0)

No comments yet. Be the first to comment.

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

Abstract

Discussion(0)

Related publications

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

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

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

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

Related publications

Dataset
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

Preprint2023
Supplementary Methods from Selection of Personalized Patient Therapy through the Use of Knowledge-Based Computational Models That Identify Tumor-Driving Signal Transduction Pathways
Preprint2023

Preprint2023
Supplementary Methods from Selection of Personalized Patient Therapy through the Use of Knowledge-Based Computational Models That Identify Tumor-Driving Signal Transduction Pathways
Preprint2023

Preprint2023
Data from Selection of Personalized Patient Therapy through the Use of Knowledge-Based Computational Models That Identify Tumor-Driving Signal Transduction Pathways
Preprint2023

Preprint2023
Data from Selection of Personalized Patient Therapy through the Use of Knowledge-Based Computational Models That Identify Tumor-Driving Signal Transduction Pathways
Preprint2023