Ander Diaz-Navarro
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)
- Thrilled to see my postdoctoral work published in @cellpress.bsky.social OncoGAN generates simulated genomes to train genomic analysis tools —without the confidentiality risks of real genomes. News story: t.co/J9QJZInPOE Paper: t.co/ygEjM5vuGZ #Genomics #Cancer #AI #Bioinformatics
- Grateful to my colleagues and to my supervisors, Lincoln Stein & Bo Wang, for their guidance and support. Stay tuned —more to come!
- 🚀 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
- 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 🦋
- 2/8 Why is OncoGAN necessary? - Improving data sharing: We have demonstrated that OncoGAN does not leak any private patient data from its training set, a crucial factor given the sensitivity of genetic information as protected health data.
- 3/8 Why is OncoGAN necessary? - Benchmarking: Since the ground truth of real cancer genomes is often unknown, evaluations typically compare methods, introducing potential bias. By generating open-access synthetic genomes with a known ground truth, OncoGAN helps improve and benchmark these tools.
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View full thread8/8 More info: Alongside the OncoGAN models and pipeline, we’ve released 800 synthetic genomes spanning 8 tumor types! A huge thank you to all the authors for their contributions to this work!!! 📄 Preprint: tinyurl.com/yepheye3 📂 Datasets: tinyurl.com/28bpd5hs 💻 Code & Docs: tinyurl.com/mr3ku653
