Open AccessdensityCut: an efficient and versatile topological approach for automatic clustering of biological data
Author(s) -
Jiarui Ding,
Sohrab P. Shah,
Anne Condon
Publication year - 2016
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btw227
Subject(s) - cluster analysis , computer science , topological data analysis , data mining , topology (electrical circuits) , artificial intelligence , algorithm , mathematics , combinatorics
Many biological data processing problems can be formalized as clustering problems to partition data points into sensible and biologically interpretable groups.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom