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bds3

Biological Data Science

citeseqln-tcells

Multimodal profiling of T-cells in nodal B-cell lymphoma

cllcytokinescreen2021

cllproteomics

covariate-powered-cross-weighted-multiple-testing

csama_website

Website for CSAMA

depinfer

DepInfeR is an R package for a computational method that integrates two experimentally accessible input data matrices:\n the drug sensitivity profiles of cancer cell lines or primary tumors ex-vivo (X), and the drug affinities of a set of proteins (Y), to infer a matrix of molecular protein dependencies of the cancers (ß).\n DepInfeR deconvolves the protein inhibition effect on the viability phenotype by using regularized multivariate linear regression. \n It assigns an “dependence coefficient” to each protein and each sample, and therefore could be used to gain causal and accurate understanding of functional consequences of genomic aberrations in a heterogeneous disease, as well as to guide the choice of pharmacological intervention for a specific cancer type, sub-type, or an individual patient.

depinfer_workflow

dmelsgi

embl-career-analysis

hd2013sgi

huber-group-embl.github.io

Huber group public webpage

lpsymphony

mofacll

nparc

Nonparametric Analysis of Response Curves from Thermal Proteome Profiling Experiments

rnainteract

rnainteractmapk

ubds3-2024

Teaching material for the Ukrainian Biological Data Science Summer School 2024