ScAdver: Adversarial Batch Correction for Single-Cell Data
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Train once, project forever batch correction for single-cell RNA-seq with probe-gated adaptive query projection and robust domain adaptation.
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Train once, project forever batch correction for single-cell RNA-seq with probe-gated adaptive query projection and robust domain adaptation.
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Open-source AI tool combining dual LLM architecture for intelligent bulk RNA-seq analysis with 100% local processing.
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OmicsFormer is an open-source PyTorch framework that uses transformer architectures to integrate multi-omics data from multiple studies, handling missing modalities and batch effects. Validated on real-world SLE data achieving 91% accuracy across 8 independent studies.
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Complete implementation of DeepMind’s 450M parameter model for genomic sequence analysis and multi-modal predictions.
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Deep learning framework applying ImageBind’s binding modality concept to integrate genomics, transcriptomics, proteomics, and metabolomics data.
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🚀 We’re entering an exciting era where Biological Foundation Models are being integrated with Large Language Models (LLMs) — opening up powerful new ways to model cellular biology.
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🧠💬 ChatGPT has become an integral part of my daily life. I became increasingly intrigued to understand what was going on under the hood of the GPT model and spent my weekends 🛠️ building a GPT model — aiming to replicate OpenAI’s GPT-2 (124M) model.