Work

Correction: Fitting Gaussian mixture models on incomplete data

Year: 2022

Type: erratum

Source: BMC Bioinformatics

DOI: 10.1186/s12859-022-04808-6

Authors: Zachary R. McCaw, Hugues Aschard, Hanna Julienne

Institutions: Harvard University, Institut Pasteur, Université Paris Cité

Language: English

Topic: Bayesian Methods and Mixture Models

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $2,690

Funders: National Science Foundation, Agence Nationale de la Recherche

Awards: Genetic Clusters to determine Asthma risk and Treatment decisions, BD Spokes: SPOKE: SOUTH: Large-Scale Medical Informatics for Patient Care Coordination and Engagement, RII Track 2 FEC: Multi-Scale Integrative Approach to Digital Health: Collaborative Research and Education in Smart Health in West Virginia and Arkansas

OpenAlex ID: W4283697100

Cites: 1

Cited by: 1

Related to: 10