The Childhood Cancer Data Lab, founded by @alexslemonade, is at the intersection of big data and childhood cancer research. Read our blog: https://xitter.cf/t.co/7GRvCQQrOn
Philadelphia area & worldwide
Joined June 2017
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We had a great time being part of #AACR26 — sharing resources like our Single-cell Pediatric Cancer Atlas Portal, meeting @AlexsLemonade grant recipients, and learning about the latest advancements in cancer research.
Learn more about the Data Lab: ccdatalab.org
Meet the Data Lab at #AACR26! 🎉
Stop by Booth 2918 to meet our team and explore resources to accelerate new treatment and cure discovery for pediatric cancer.
Are you attending #ENAR2026 in Indianapolis next week? Don’t miss the Data Lab’s presentation on machine learning in pediatric cancer research, presented by our director Dr. Jaclyn N. Taroni, on March 16!
#MachineLearning #PediatricCancer
Did you know the Data Lab can support your data-intensive research projects? Our science team specializes in working with large datasets from designing pipelines to ensuring reproducible analysis.
Learn more! ccdatalab.org/scientific-col…
📊 Access rich datasets that include data, metadata, and expertly curated cell type annotations…for free!
ALT An example of downloading a project from the ScPCA Portal.
🔍 User-friendly search and filter tools allow you to quickly find the projects you’re interested in.
ALT A project page on the ScPCA Portal.
🔬 Explore over 700 samples from 55 pediatric cancer types, all in one place.
ALT The homepage of the Single-cell Pediatric Cancer Atlas (ScPCA) Portal.
Connect with our team at the #AACR Special Conference: Discovery and Innovation in #PediatricCancer! Dr. Ally Hawkins will be presenting our work on a collaboration aimed at uncovering therapeutic vulnerabilities in #EwingSarcoma.
🗓️ Tonight (9/25) | 7-9:30PM
📍 Poster Session A
Several projects on the Portal contain bulk RNA-seq data in addition to single-cell/nuclei RNA-seq data. We compared modalities across five solid tumor projects to explore potential biological differences.
ALT Figure 6 from the ScPCA preprint: Comparison of bulk and pseudo-bulk modalities.
Using an ontology-based approach, we have assigned consensus cell types to all samples on the ScPCA Portal. They are now included in all processed and merged datasets from the Portal!
ALT Figure 5 from the ScPCA preprint: Consensus cell type annotations in Brain and CNS tumors.
Thank you to everyone who joined us to learn advanced topics in #SingleCell #RNAseq analysis this week. We look forward to hosting more researchers at our workshops this year.
