GCTAg: scalable mixed-model analysis for biobank-scale agricultural cohorts
q-bio.GN, q-bio.QM
Submitted: 2026-10-01
Updated: 2026-10-01
Code: https://github.com/JianYang-Lab/GCTA
Sources
- Scalable Krylov Subspace Methods for Generalized Mixed-Effects Models with Crossed Random Effects
- Aligning sequence reads, clone sequences and assembly contigs with BWA-MEM
- Fast genomic read alignment with minibwa
Related papers
- WTKO-CNN: Deep Learning Reveals Sequence Motifs Distinguishing Wild-Type and Knockout ATAC-seq Peaks
- Robust Machine Learning for Regulatory Sequence Modeling under Biological and Technical Distribution Shifts
- Stable-Shift: Biologically Structured Prediction of Transcriptional Responses to Unseen Gene Perturbations