Structural Bias Benchmark
Benchmark of state-of-the-art computational methods for correcting biases of established and unknown origin in CRISPR-Cas9 screening data.
Benchmark of state-of-the-art computational methods for correcting biases of established and unknown origin in CRISPR-Cas9 screening data.
Patient-genomics-guided selection of cancer in vitro models allowing in-silico drug/target prescriptions.
Integrative ensemble predictor of cetuximab sensitivity in colorectal cancer PDXs from their basal multi-omic characterisation.
Identification of core fitness genes from joint analyses of multiple genome-wide CRISPR-Cas9 screens.
Pre-processing of CRISPR-KO screening data and correction of gene independent responses to CRISPR-Cas9 targeting.
Go to WebappBenchmarking pipeline and R package for evaluating CRISPR screens data quality.
Reduced gene templates for supervised analysis of scale-limited CRISPR-Cas9 fitness screens.