Spectrum: Concordia University Research Repository
metadata only
A multi-level nearest-neighbour algorithm for predicting protein secondary structure
A thesis on machine learning and prediction of protein secondary structure. We develop a variation of the nearest-neighbour algorithm that adopts a multi-level strategy together with a variable window size. The algorithm is applied to the problem of predicting the secondary structure of a protein g
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- ARIADNE: Pattern-Directed Inference and Hierarchical Abstraction in Protein Structure Recognition#239446
- Automatic feature selection and weighting in molecular systems using Differentiable Information Imbalance#461062
- DynMoCo: A novel AI framework to reveal modular substructures of protein from molecular dynamics.#9057
- Conserved Immune Topology Improves Pathology Foundation Model Generalization for Cross-Cancer MSI-H Prediction#972127
- A Web Site for Detecting Protein Structural Domain Neighbours#262226
Record · ID 1020717
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive