Alpha Rust implementation of JEPA (Joint Embedding Predictive Architecture) — the self-supervised learning framework from Yann LeCun and Meta AI for learning world models that predict in ...

Accurate detection of enhancer-promoter loops from genome-wide chromatin interaction data is critical for understanding gene regulation. Standard normalization methods, such as matrix balancing ...

Traditional approach: Load everything upfront = 100k+ tokens consumed Context Cascade: Load on demand = ~2k tokens initially, expand as needed Result: 90%+ context savings while maintaining full ...

Stroke is increasingly understood as a network disorder with symptoms often arising from disruption of white matter connectivity. Previous connectome-based lesion-symptom mapping studies revealed that ...

In cell division, chromosomes change folds and assume different shapes during the cell cycle. We combined a maximum entropy approach with polymer physics to model an ensemble of 3D chromosomal ...

Code is hardly ever developed from scratch. Rather, new code typically needs to integrate with existing code and is dependent upon existing libraries. Two recent studies found that developers spend, ...

Chromatin folding contributes to the regulation of genomic processes such as gene activity. Existing conformation capture methods characterize genome topology through analysis of pairwise chromatin ...

We present an open-source Python package to compute information-theoretical quantities for electroencephalographic data. Electroencephalography (EEG) measures the electrical potential generated by the ...