Weighted In Silico Pathology: a novel approach to assess intra-tumoral heterogeneity
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Updated
Jun 6, 2019 - R
Weighted In Silico Pathology: a novel approach to assess intra-tumoral heterogeneity
Patient stratification and molecular mechanism identification using patient clinotypes and transcriptomics embeddings
Scripts for methylation data qc and performing single and multi-ancestry EWAS.
Methylation and mqtl analysis of the developing knee
Genomic Data Commons Query
This package creates segmentation of the genome into regions of biological significance from high-throughput sequencing data.
Snakemake workflow for the processing of EMseq data
Performing a limited cluster for similar methylation profiles as SOX10
EpiMethEx (Epigenetic Methylation and Expression), a R package to perform a large-scale integrated analysis by cyclic correlation analyses between methylation and gene expression data.
A Snakemake workflow to analyse Illumina methylation arrays
An application for analyzing and visualizing DNA methylation in multiple sequence alignments
A repository containing code, data, and resource links for the publication "Characterization of universal features of partially methylated domains across tissues and species"
R package for the calculation of the following Within-Sample Heterogeneity Scores in Bisulfite Sequencing Data: FDRP, qFDRP, PDR, Epipolymorphism, Methylation Entropy and MHL
Convert methylation data to sparse objects for machine learning.
A Transformer-based model for read-level DNA methylation pattern identification and tumour deconvolution
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