Author: Theo Knijnenburg

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Preprints

Cell states beyond transcriptomics: integrating structural organization and gene expression in hiPSC-derived cardiomyocytes

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Combining Dependent P-values with an Empirical Adaptation of Brown's Method

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  • In bioinformatics: 1,448
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Logic models to predict continuous outputs based on binary inputs with an application to personalized cancer therapy

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  • In bioinformatics: 1,482
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Extracting Intercellular Signaling Network Of Cancer Tissues Using Ligand-Receptor Expression Patterns From Whole-Tumor And Single-Cell Transcriptomes

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  • In systems biology: 631
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Mining the forest: uncovering biological mechanisms by interpreting Random Forests

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Phylostratigraphic analysis of tumor and developmental transcriptomes reveals relationship between oncogenesis, phylogenesis and ontogenesis

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  • In cancer biology: 1,131
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A functional module states framework reveals cell states for drug and target prediction

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