7 skills found
LHY1007 / M3C2Joint Modelling Histology and Molecular Markers for Glioma Classification
phac-nml / WadeWGS Analysis and Detection of Molecular Markers (WADE)
XiaofeiWang2018 / DeepMO Glioma CodeMICCAI23 paper: "Multi-task Learning of Histology and Molecular Markers for Classifying Diffuse Glioma"
kusterlab / ATLANTiCIntegrated analysis of genomes, transcriptomes, proteomes and drug responses of cancer cell lines (CCLs) is an emerging approach to uncover molecular mechanisms of drug action. We extend this paradigm to measuring proteome activity landscapes by acquiring and integrating quantitative data for 10,000 proteins and 55,000 phosphorylation sites (p-sites) from 125 CCLs. These data are used to contextualize proteins and p-sites and predict drug sensitivity. For example, we find that Progesterone Receptor (PGR) phosphorylation is associated with sensitivity to drugs modulating estrogen signaling such as Raloxifene. We also demonstrate that Adenylate kinase isoenzyme 1 (AK1) inactivates antimetabolites like Cytarabine. Consequently, high AK1 levels correlate with poor survival of Cytarabine-treated acute myeloid leukemia patients, qualifying AK1 as a patient stratification marker and possibly as a drug target. We provide an interactive web application termed ATLANTiC (http://atlantic.proteomics.wzw.tum.de), which enables the community to explore the thousands of novel functional associations generated by this work.
molevol-ub / DOMINODevelopment of molecular markers in non-model organisms
dpcook / Tcga Breast CancerAnalysis for collaboration with the Sabourin lab, looking at breast cancer subtypes and molecular markers
hansiu / MatPhylobia tool for automatic construction of molecular data matrix for phylogenetic inference based on GenBank records
