Bipartite graph-based approach for clustering of cell lines by gene expression–drug response associations

Research article (Bioinformatics, 2021) · cited 15× · AI/ML
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Bipartite graph-based approach for clustering of cell lines by gene expression–drug response associations

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Bipartite graph-based approach for clustering of cell lines by gene expression–drug response associations is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Bipartite graph-based approach for clustering of cell lines by gene expression–drug response associations. Retrieved May 24, 2026, from https://4ort.xyz/entity/bipartite-graph-based-approach-for-clustering-of-cell-lines-by-gene-expressiondrug-response-associations
MLA “Bipartite graph-based approach for clustering of cell lines by gene expression–drug response associations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/bipartite-graph-based-approach-for-clustering-of-cell-lines-by-gene-expressiondrug-response-associations.
BibTeX @misc{4ortxyz_bipartite-graph-based-approach-for-clustering-of-cell-lines-by-gene-expressiondrug-response-associations_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Bipartite graph-based approach for clustering of cell lines by gene expression–drug response associations}}, year = {2026}, url = {https://4ort.xyz/entity/bipartite-graph-based-approach-for-clustering-of-cell-lines-by-gene-expressiondrug-response-associations}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Bipartite graph-based approach for clustering of cell lines by gene expression–drug response associations — https://4ort.xyz/entity/bipartite-graph-based-approach-for-clustering-of-cell-lines-by-gene-expressiondrug-response-associations (retrieved 2026-05-24)

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