Protein Classification with Improved Topological Data Analysis.

DOI10.4230/LIPIcs.WABI.2018.6zbMath1494.92084OpenAlexW2888976383MaRDI QIDQ5090330

Sayan Mandal, Tamal Krishna Dey

Publication date: 18 July 2022

Full work available at URL: https://drops.dagstuhl.de/opus/volltexte/2018/9308/pdf/LIPIcs-WABI-2018-6.pdf/

zbMATH Keywords

supervised learningtopological data analysispersistent homologysimplicial collapseprotein classificatiotopology based protein feature vector

Mathematics Subject Classification ID

Persistent homology and applications, topological data analysis (55N31) Protein sequences, DNA sequences (92D20) Computational methods for problems pertaining to biology (92-08)

Related Items (3)

A Topological Data Analysis Approach on Predicting Phenotypes from Gene Expression Data ⋮ Aspects of topological approaches for data science ⋮ Geometric Metrics for Topological Representations

Cites Work

• Unnamed Item
• A topological approach for protein classification
• \textsc{Phat} -- persistent homology algorithms toolbox
• On the Nonlinear Statistics of Range Image Patches
• SimBa: An Efficient Tool for Approximating Rips-filtration Persistence via Simplicial Batch-collapse
• Computing Topological Persistence for Simplicial Maps
• PERSISTENCE BARCODES FOR SHAPES

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