Work

Learning from Past Treatments and Their Outcome Improves Prediction of In Vivo Response to Anti-HIV Therapy

Year: 2011

Type: article

Source: Statistical Applications in Genetics and Molecular Biology

DOI: 10.2202/1544-6115.1604

Authors: Hiroto Saigo, Andre Altmann, Jasmina Bogojeska, Fabian Müller, Sebastian Nowozin, Thomas Lengauer

Institutions: Max Planck Society, Max Planck Institute for Informatics, Max Planck Institute for Biological Cybernetics

Language: English

Topic: HIV/AIDS drug development and treatment

Subfield: Infectious Diseases

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W2142384443

FWCI: 2.171

Cites: 30

Cited by: 18

Related to: 6