Kieran Campbell

@kieranrcampbell.bsky.social

https://www.camlab.ca | ML for cancer genomics + single-cell and spatial computational methods | Toronto Canada 🖥️🧬

In a new paper, we introduce Metient, a new method to reconstruct the migration history of metastatic clones, and learn cancer-type specific patterns of metastatic spread, from bulk or single-cell sequencing data. www.nature.com/articles/s41...

Inferring cancer type-specific patterns of metastatic spread using Metient - Nature Methods

Metient is a statistical framework that infers patterns of metastatic spread and reconstructs cancer migration histories.

nature.com

Does anyone with familiarity with Claude Skills have a sense of how to reliably test these things? I've seen it succeed by peeking at the code instead of just running the skills as-is, which defeats the purpose of managing the context window

I am very excited to share this book! It has been so much to collaborate on the project. We hope you find it useful!

Helena Lucia Crowell@helucro.bsky.social · 11mo ago

Many people hours, calls and messages later: OSTA is now “in (pre)print”, though the real thing lives at bioconductor.org/books/OSTA. Check it out, get in touch. We welcome any feedback, suggestions, wishes (& contributions). It’s been a joy working with you @estellayixingdong.bsky.social!

"The advent of large language models have made this type of content relatively easy to churn out on demand, and the majority of the review articles we receive are little more than annotated bibliographies, with no substantial discussion of open research issues."

How can we scale subcellular spatial proteomics across many experiments and conditions? Our new paper presents a genetic algorithm and evaluation framework that optimizes bait subsets for proximity proteomics platforms like BioID enabling context-specific proteome mapping.

Figure showing overview of genetic search algorithm and evaluation strategy

Studying cancer evolution needs multi-region or single cell seq for phylogenetics, right? Amazingly (I think!) we found single-sample bulk methylation suffices, via analysis of "fluctuating methylation". In @nature.com today led by brilliant @calumgabbutt.bsky.social www.nature.com/articles/s41...

Fluctuating DNA methylation tracks cancer evolution at clinical scale - Nature

Cancer evolutionary dynamics are quantitatively inferred using a method, EVOFLUx, applied to fluctuating DNA methylation.

nature.com

The grand vision of the AI university. Professors design curricula, lecture notes and exam questions using genAI. Students read the notes and submit essays and exam answers using LLMs. Massive efficiency and speed gains ensue. Students can go play pool, professors write grants in the saved time.

I am thrilled to share with the world a new preprint, spearheaded by the truly amazing Jose Reyes in partnership with the Lowe lab. The paper sheds light on benign to malignant transition in PDAC, uncovering roles of plasticity, tissue remodeling and P53. -> www.biorxiv.org/content/10.1...

Oncogenic and tumor-suppressive forces converge on a progenitor-orchestrated niche to shape early tumorigenesis

The transition from benign to malignant growth is a pivotal yet poorly understood step in cancer progression that marks the shift from a pathologically inert condition to a clinically lethal disease. ...

biorxiv.org