SubQuad: Near-Quadratic-Free Structure Inference with Distribution-Balanced Objectives in Adaptive Receptor framework | ScienceToStartup | ScienceToStartup

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References (40)

[1]

MetaNet: a scalable and integrated tool for reproducible omics network analysis

2025Chen Peng, Zinuo Huang et al.

[2]

FED: Fast and Efficient Dataset Deduplication Framework with GPU Acceleration

2025Youngjun Son, Chaewon Kim et al.

[3]

TCR-pMHC Binding Specificity Prediction From Structure Using Graph Neural Networks

Founder's Pitch

"SubQuad offers a scalable, bias-aware platform for adaptive immune repertoire mining and translational tasks like vaccine target prioritization."

Machine Learning in Bioinformatics•Score: 5•View PDF ↗

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SubQuad: Near-Quadratic-Free Structure Inference with Distribution-Balanced Objectives in Adaptive Receptor framework

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References (40)

Founder's Pitch

"SubQuad offers a scalable, bias-aware platform for adaptive immune repertoire mining and translational tasks like vaccine target prioritization."

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SubQuad: Near-Quadratic-Free Structure Inference with Distribution-Balanced Objectives in Adaptive Receptor framework

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References (40)

Founder's Pitch

"SubQuad offers a scalable, bias-aware platform for adaptive immune repertoire mining and translational tasks like vaccine target prioritization."

Commercial Viability Breakdown

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