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
🧪 Facinated by Cancer Metabolism, Gene Regulation & Multiomics
🎓 Previously @frezzalab.bsky.social @Cambridge_Uni and @Wuerzburg_Uni
🧫 Love to paint Scienceart
Reposted by Christina Schmidt
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 ⬇️
🔗
www.biorxiv.org/content/10.1...
📦
saezlab.github.io/MetaProViz/
🧵 Thread ⬇️
August 25, 2025 at 7:07 AM
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 ⬇️
🔗
www.biorxiv.org/content/10.1...
📦
saezlab.github.io/MetaProViz/
🧵 Thread ⬇️
Reposted by Christina Schmidt
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
December 5, 2024 at 1:29 PM
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)🧪
Reposted by Christina Schmidt
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...
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
December 4, 2024 at 10:17 AM
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...
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...