We present our MetaProViz #Rpackage for #metabolomics analysis & prior knowledge integration to generate mechanistic hypotheses on how metabolic changes affect metabolite classes, pathways & environment interaction 🔗 www.biorxiv.org/content/10.1... 📦 saezlab.github.io/MetaProViz/ 🧵 Thread ⬇️
Christina Schmidt
@christinaschmidt.bsky.social
⚛️ Postdoc in Computational Biomedicine @saezlab.bsky.social @Heidelberg 🧪 Facinated by Cancer Metabolism, Gene Regulation & Multiomics 🎓 Previously @frezzalab.bsky.social @Cambridge_Uni and @Wuerzburg_Uni 🧫 Love to paint Scienceart
We are excited to provide a short Bluetorial on our work led by our postdoc @christinaschmidt.bsky.social & Ariane Mora (Boden Lab), who developed SiRCle to reveal mechanisms of phenotype regulation, which I posted recently. (1/14)🧪
SiRCle (Signature Regulatory Clustering) model integration reveals mechanisms of phenotype regulation in renal cancer - Genome Medicine
Background Clear cell renal cell carcinoma (ccRCC) tumours develop and progress via complex remodelling of the kidney epigenome, transcriptome, proteome and metabolome. Given the subsequent tumour and...
genomemedicine.biomedcentral.com
SiRCle (Signature Regulatory Clustering) model integration reveals mechanisms of phenotype regulation in renal cancer Please check this work from Christina Schmidt and Ariane Mora, in collaboration with the Boden lab. We explore the regulatory network of ccRCC. 🧪 link.springer.com/article/10.1...
SiRCle (Signature Regulatory Clustering) model integration reveals mechanisms of phenotype regulation in renal cancer - Genome Medicine
Background Clear cell renal cell carcinoma (ccRCC) tumours develop and progress via complex remodelling of the kidney epigenome, transcriptome, proteome and metabolome. Given the subsequent tumour and...
link.springer.com