Topological Data Analysis of Single-cell Hi-C Contact Maps
| Autor: | Mathieu Carrière, Raul Rabadan |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Computational Geometry (cs.CG)
Genomics (q-bio.GN) FOS: Computer and information sciences 0303 health sciences Computer science Topology 01 natural sciences 010104 statistics & probability 03 medical and health sciences FOS: Biological sciences FOS: Mathematics Computer Science - Computational Geometry Algebraic Topology (math.AT) Quantitative Biology - Genomics Topological data analysis Mathematics - Algebraic Topology 0101 mathematics Computer Science::Databases 030304 developmental biology |
| DOI: | 10.48550/arxiv.1812.01360 |
| Popis: | In this article, we show how the recent statistical techniques developed in Topological Data Analysis for the Mapper algorithm can be extended and leveraged to formally define and statistically quantify the presence of topological structures coming from biological phenomena in datasets of CCC contact maps. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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