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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,341 papers · 148 categories

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2 results for “CASP10”

Evaluation of Protein Structural Models Using Random Forestscs.LG

New method predicts protein structural quality using random forests.

problem Predicting protein structural quality from models.

method Combines multi/single model quality assessment with chemical, physical, geometric features and random forests.

result Random forest technique improves local quality assessment accuracy.

protein structure prediction random forests protein quality assessment CASP9 CASP10

2016-02-13abs ↗pdf ↗

PS8-Net: A Deep Convolutional Neural Network to Predict the Eight-State Protein Secondary Structurecs.LG

PS8-Net improves eight-state protein secondary structure prediction accuracy.

problem Precise prediction of eight-state protein secondary structure (PSS) is crucial in bioinformatics.

method PS8-Net is a new deep convolutional neural network (DCNN) that uses a PS8 module with skip connections to enhance accuracy.

result PS8-Net achieves 76.89% Q8 accuracy on benchmark datasets.

protein secondary structure deep learning DCNN skip connections bioinformatics

2020-09-22abs ↗pdf ↗