[ICLR 2024] DNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genome
- dataset
- dna
- dna-processing
- dna-training
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[ICLR 2024] DNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genome
Native R and Python sample-deletion robustness for omics: candidate certificates, minimum deletion bounds, Bioconductor model refits and donor-level pseudobulk
Schema and generated objects for biolink data model and upper ontology
Genomic sequence storage, indexing and alignment inside PostgreSQL: https://bioseqdb.com/
🏃 The go-to single-cell Foundation Model
Python package for image-based profiling
Official repo for CellPLM: Pre-training of Cell Language Model Beyond Single Cells.
Methods for Image-Based Cell Profiling
Fast, deterministic cell-type deconvolution for million-bin spatial transcriptomics