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Pavel-Kravchenko
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Pavel-Kravchenko

عرض على مستوى المستودعات لـ 213 skills مجمعة عبر 1 مستودعات GitHub.

skills مجمعة
213
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1
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2026-07-03
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advanced-string-structures
مطوّرو البرمجيات

Build tries, Aho-Corasick, and suffix arrays with Kasai LCP to index DNA/text and match many patterns in one pass. Use for genome motif scanning, k-mer indexing, longest-repeat search, or BWA/FM-index groundwork.

2026-07-03
ai-science-alphafold-protein-design
مطوّرو البرمجيات

Interpret AlphaFold2/AF3 pLDDT/PAE scores, fetch AlphaFold DB models by UniProt ID, and rank RFdiffusion/ProteinMPNN designs. Use when asked about pLDDT, PAE, AF2 vs AF3, AlphaFold DB fetch, or design triage.

2026-07-03
ai-science-diffusion-generative-models
مطوّرو البرمجيات

Code DDPM/DDIM diffusion samplers, linear/cosine noise schedules, and DDRM inverse-problem solving (denoising, inpainting, super-resolution) in NumPy/PyTorch. Use for forward/reverse diffusion, score matching, or DDIM sampling.

2026-07-03
ai-science-enformer-regulatory
مطوّرو البرمجيات

Predict CAGE/DNase/ATAC/ChIP-seq tracks from raw DNA with Enformer/Borzoi, run in-silico mutagenesis (ISM), and score noncoding variant effects. Use when predicting enhancer/promoter activity from sequence, running ISM, scoring a noncoding SNP, or prioritizing GWAS/eQTL variants.

2026-07-03
ai-science-epigenomic-sequence-models
مطوّرو البرمجيات

Choose Borzoi (RNA-seq coverage, 32bp) vs Epiformer (sequence+PhyloP, chromatin accessibility) vs AlphaGenome for epigenomic prediction. Use when picking a model for RNA-seq, ATAC/DNase, or variant-effect scoring.

2026-07-03
ai-science-esm2-embeddings
مطوّرو البرمجيات

Generate ESM2 protein embeddings (fair-esm/transformers) and predict structure with ESMFold. Use when embedding sequences, scoring mutations zero-shot, annotating protein function, or doing fast MSA-free structure prediction.

2026-07-03
ai-science-geneformer-scgpt
مطوّرو البرمجيات

Tokenize scRNA-seq via Geneformer gene-rank or scGPT expression-bin encoding; annotate cell types, simulate in-silico knockouts. Use for foundation-model cell annotation, Geneformer/scGPT tokenization, or perturbation prediction.

2026-07-03
ai-science-genomic-llms
مطوّرو البرمجيات

Embed DNA with genomic foundation models (Nucleotide Transformer, HyenaDNA, Evo) via HuggingFace transformers; k-mer tokenize, probe promoter motifs. Use for DNA LLMs, genomic embeddings, or NT/HyenaDNA/Evo choice.

2026-07-03
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