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sns-paper-flashzoi-mus_silicus_cg_gc_lower-finetuned – AI Model by tanaylab | AlphaNeural AI

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tanaylab/
sns-paper-flashzoi-mus_silicus_cg_gc_lower-finetuned

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in-silico-genome

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Flashzoi fine-tuned on mus_silicus_cg_gc_lower

mm10-trained Flashzoi (rf524k) fine-tuned on the mus_silicus_cg_gc_lower synthetic genome with CUT&Tag H3K27me3 and H3K4me3 targets.

Genome: Base silicus genome (CG/GC content matched to mm10)
Base model: Flashzoi rf524k trained on mm10
Receptive field: 524 kb
Resolution: 32 bp
Paper: Casimov, Lifshitz et al., "Reverse engineering the genomic encodings of the pluripotent epigenome"

See the paper companion repository for full code and configs.