Work

Investigating tunable experiment variable effects on hiPSC-CMs maturation via unsupervised learning

Year: 2023

Type: book-chapter

Source: Computer-aided chemical engineering/Computer aided chemical engineering

DOI: 10.1016/b978-0-443-15274-0.50433-9

Authors: Shenbageshwaran Rajendiran, Mohammadjafar Hashemi, Ferdous Frinklea, Nathan Young, Elizabeth Lipke, Selen Cremaschi

Institution: Auburn University

Language: English

Topic: Pluripotent Stem Cells Research

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: closed

Funder: National Science Foundation

Award: Collaborative Research: RECODE: Directing and Controlling Cardiac Differentiation Through Cellular and Microenvironmental Manipulation and Application of Machine-Learning

OpenAlex ID: W4384789549

FWCI: 1.135

Cites: 16

Cited by: 2

Related to: 10