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Session Introduction: Graph Representations and Algorithms in Biomedicine

Year: 2022

Type: conference-paper

Abstract: The following sections are included: Introduction, Understanding and Predicting Molecular Networks, Understanding and Predicting Molecular Networks, Making Use of Family Structure, Applying Traditional Graph Algorithms to Novel Tasks, Representing Uncertainty in Networks, Conclusion, References.

Source: Pacific Symposium on Biocomputing (PSB)

DOI: 10.1142/9789811270611_0006

Authors: Brianna Chrisman, Maya Varma, Sepideh Maleki, Maria Brbic, Cliff Joslyn, Marinka Zitnik

Institutions: Stanford University, The University of Texas at Austin, École Polytechnique Fédérale de Lausanne, Pacific Northwest National Laboratory, Harvard University

Language: English

Topic: Bioinformatics and Genomic Networks

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: hybrid

OpenAlex ID: W4309849215

FWCI:

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