Ander Diaz-Navarro
@dn-ander.bsky.social
I’m a computational biologist and biochemist working on synthetic tumor genome generation 💻🧬 Postdoctoral researcher at University of Toronto (UofT) and Ontario Institute for Cancer Research (OICR)
🚀 Only 2 weeks left to join the VI Visualization Contest with R by Grupo de R de Asturias!
🏆 Prizes:
🥇 1st: 300€
🥈 2nd: 100€
Show off your #RStats skills and impress us with your best visualizations!
🔗 More info: github.com/grupoRasturi...
#Visualization #Contest #DataViz
🏆 Prizes:
🥇 1st: 300€
🥈 2nd: 100€
Show off your #RStats skills and impress us with your best visualizations!
🔗 More info: github.com/grupoRasturi...
#Visualization #Contest #DataViz
March 18, 2025 at 12:56 AM
🚀 Only 2 weeks left to join the VI Visualization Contest with R by Grupo de R de Asturias!
🏆 Prizes:
🥇 1st: 300€
🥈 2nd: 100€
Show off your #RStats skills and impress us with your best visualizations!
🔗 More info: github.com/grupoRasturi...
#Visualization #Contest #DataViz
🏆 Prizes:
🥇 1st: 300€
🥈 2nd: 100€
Show off your #RStats skills and impress us with your best visualizations!
🔗 More info: github.com/grupoRasturi...
#Visualization #Contest #DataViz
6/8 Is OncoGAN useful? Absolutely!
- We used OncoGAN simulations to augment DeepTumour’s training dataset (a tool for identifying tumor type based on somatic mutation patterns), showing performance improvements.
- We used OncoGAN simulations to augment DeepTumour’s training dataset (a tool for identifying tumor type based on somatic mutation patterns), showing performance improvements.
February 24, 2025 at 7:50 PM
6/8 Is OncoGAN useful? Absolutely!
- We used OncoGAN simulations to augment DeepTumour’s training dataset (a tool for identifying tumor type based on somatic mutation patterns), showing performance improvements.
- We used OncoGAN simulations to augment DeepTumour’s training dataset (a tool for identifying tumor type based on somatic mutation patterns), showing performance improvements.
4/8 What does OncoGAN simulate?
- Tumor heterogeneity (A): Simulating donors with varying mutational burdens and characteristics.
- Tissue-specific mutational patterns (B): Accurately modeling the genomic distribution of mutations and mutational signatures unique to different tumor types.
- Tumor heterogeneity (A): Simulating donors with varying mutational burdens and characteristics.
- Tissue-specific mutational patterns (B): Accurately modeling the genomic distribution of mutations and mutational signatures unique to different tumor types.
February 24, 2025 at 7:50 PM
4/8 What does OncoGAN simulate?
- Tumor heterogeneity (A): Simulating donors with varying mutational burdens and characteristics.
- Tissue-specific mutational patterns (B): Accurately modeling the genomic distribution of mutations and mutational signatures unique to different tumor types.
- Tumor heterogeneity (A): Simulating donors with varying mutational burdens and characteristics.
- Tissue-specific mutational patterns (B): Accurately modeling the genomic distribution of mutations and mutational signatures unique to different tumor types.
Our updated version of OncoGAN is out! 🚀
🧬 OncoGAN is an AI system capable of generating high-fidelity, open-access synthetic cancer genomes.
Do you want to know more about it? 1/8 🦋
🧬 OncoGAN is an AI system capable of generating high-fidelity, open-access synthetic cancer genomes.
Do you want to know more about it? 1/8 🦋
February 24, 2025 at 7:50 PM
Our updated version of OncoGAN is out! 🚀
🧬 OncoGAN is an AI system capable of generating high-fidelity, open-access synthetic cancer genomes.
Do you want to know more about it? 1/8 🦋
🧬 OncoGAN is an AI system capable of generating high-fidelity, open-access synthetic cancer genomes.
Do you want to know more about it? 1/8 🦋