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Maarten Larmuseau

Showing results (1-10 of 9) with videos related to

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Biology Direct|May 11, 2019
Associating expression and genomic data using co-occurrence measuresMaarten Larmuseau, Lieven P C Verbeke, Kathleen Marchal
Plos Genetics|September 7, 2021
CSYseq: The first Y-chromosome sequencing tool typing a large number of Y-SNPs and Y-STRs to unravel worldwide human population geneticsSofie Claerhout, Paulien Verstraete, Liesbeth Warnez, et al.
Cancers|November 13, 2021
Network-Based Analysis to Identify Drivers of Metastatic Prostate Cancer Using GoNeticLouise de Schaetzen van Brienen, Giles Miclotte, Maarten Larmuseau, et al.
Cell Reports Methods|April 27, 2022
Extracting functional insights from loss-of-function screens using deep link predictionPieter-Paul Strybol, Maarten Larmuseau, Louise de Schaetzen van Brienen, et al.
Gigascience|January 13, 2022
Halvade somatic: Somatic variant calling with Apache SparkDries Decap, Louise de Schaetzen van Brienen, Maarten Larmuseau, et al.
BMC Medical Genomics|July 8, 2020
Comparative analysis of somatic variant calling on matched FF and FFPE WGS samplesLouise de Schaetzen van Brienen, Maarten Larmuseau, Kim Van der Eecken, et al.
Cancer Research|June 23, 2023
Whole Slide Imaging-Based Prediction of TP53 Mutations Identifies an Aggressive Disease Phenotype in Prostate CancerMarija Pizurica, Maarten Larmuseau, Kim Van der Eecken, et al.
European Journal of Nuclear Medicine and Molecular Imaging|November 19, 2025
Low-count whole-body PET denoising with deep learning in a multicenter, multi-tracer and externally validated studyJustine Maes, Charles Carron, Simon DeKeyser, et al.
Genome Medicine|March 5, 2026
Multifocal cohort analysis unveils cell types associated with regional lymph node seeding in prostate cancerLouise de Schaetzen van Brienen, Taewoo Jung, Maarten Larmuseau, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Biology Direct|May 11, 2019
Associating expression and genomic data using co-occurrence measuresMaarten Larmuseau, Lieven P C Verbeke, Kathleen Marchal
Plos Genetics|September 7, 2021
CSYseq: The first Y-chromosome sequencing tool typing a large number of Y-SNPs and Y-STRs to unravel worldwide human population geneticsSofie Claerhout, Paulien Verstraete, Liesbeth Warnez, et al.
Cancers|November 13, 2021
Network-Based Analysis to Identify Drivers of Metastatic Prostate Cancer Using GoNeticLouise de Schaetzen van Brienen, Giles Miclotte, Maarten Larmuseau, et al.
Cell Reports Methods|April 27, 2022
Extracting functional insights from loss-of-function screens using deep link predictionPieter-Paul Strybol, Maarten Larmuseau, Louise de Schaetzen van Brienen, et al.
Gigascience|January 13, 2022
Halvade somatic: Somatic variant calling with Apache SparkDries Decap, Louise de Schaetzen van Brienen, Maarten Larmuseau, et al.
BMC Medical Genomics|July 8, 2020
Comparative analysis of somatic variant calling on matched FF and FFPE WGS samplesLouise de Schaetzen van Brienen, Maarten Larmuseau, Kim Van der Eecken, et al.
Cancer Research|June 23, 2023
Whole Slide Imaging-Based Prediction of TP53 Mutations Identifies an Aggressive Disease Phenotype in Prostate CancerMarija Pizurica, Maarten Larmuseau, Kim Van der Eecken, et al.
European Journal of Nuclear Medicine and Molecular Imaging|November 19, 2025
Low-count whole-body PET denoising with deep learning in a multicenter, multi-tracer and externally validated studyJustine Maes, Charles Carron, Simon DeKeyser, et al.
Genome Medicine|March 5, 2026
Multifocal cohort analysis unveils cell types associated with regional lymph node seeding in prostate cancerLouise de Schaetzen van Brienen, Taewoo Jung, Maarten Larmuseau, et al.
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