Hit series selection in noisy HTS data: clustering techniques, statistical tests and data visualisations.

Autor: Müller, Christoph, Ormsby, Daniel, Feierberg, Isabella, Engkvist, Ola, Tyrchan, Christian, Hartshorn, Michael J.
Předmět:
Zdroj: Journal of Cheminformatics; 2014, Vol. 6 Issue Suppl 1, p1-1, 1p
Abstrakt: An abstract of the article "Hit series selection in noisy HTS data: clustering techniques, statistical tests and data visualisations" by Christoph Müller, Daniel Ormsby, Isabella Feierberg, Ola Engkvist, Christian Tyrchan and Michael J. Hartshorn is presented.
Databáze: Complementary Index