Research Explorer

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Researcher

Louise de Schaetzen van Brienen

Awards & Distinctions

7 Results

2023

Cohort analysis to identify metastatic prostate cancer drivers

Louise de Schaetzen van BrienenKathleen MarchalPiet Ost

WSI based prediction of TP53 mutations identifies aggressive disease phenotype in prostate cancer

Marija PizuricaMaarten LarmuseauKim Van der EeckenLouise de Schaetzen van BrienenFrancisco Carrillo-PerezSimon IsphordingNicolaas LumenJo Van DorpePiet OstSofie Verbeke et al.

Whole slide imaging-based prediction of TP53 mutations identifies an aggressive disease phenotype in prostate cancer

Marija PizuricaMaarten LarmuseauKim Van der EeckenLouise de Schaetzen van BrienenFrancisco Carrillo-PerezSimon IsphordingNicolaas LumenJo Van DorpePiet OstSofie Verbeke et al.

A1 Journal Article in CANCER RESEARCH

2022

Extracting functional insights from loss-of-function screens using deep link prediction

Pieter-Paul StrybolMaarten LarmuseauLouise de Schaetzen van BrienenTim Van den BulckeKathleen Marchal

A2 Journal Article in CELL REPORTS METHODS

Halvade somatic : somatic variant calling with Apache Spark

Dries DecapLouise de Schaetzen van BrienenMaarten LarmuseauPascal CostanzaCharlotte HerzeelRoel WuytsKathleen MarchalJan Fostier

A1 Journal Article in GIGASCIENCE

2021

Network-based analysis to identify drivers of metastatic prostate cancer using GoNetic

Louise de Schaetzen van BrienenGiles MiclotteMaarten LarmuseauJimmy Van den EyndenKathleen Marchal

A1 Journal Article in CANCERS

2020

Comparative analysis of somatic variant calling on matched FF and FFPE WGS samples

Louise de Schaetzen van BrienenMaarten LarmuseauKim Van der EeckenFREDERIC DE RYCKPauline Robbe VandewalleAnna SchuhJan FostierPiet OstKathleen Marchal

A1 Journal Article in BMC MEDICAL GENOMICS