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MMCL-CDR: enhancing cancer drug response prediction with multi-omics and morphology images contrastive representation learning
Research article (Bioinformatics, 2023) · cited 15× · AI/ML
MMCL-CDR: enhancing cancer drug response prediction with multi-omics and morphology images contrastive representation learning
Summary
MMCL-CDR: enhancing cancer drug response prediction with multi-omics and morphology images contrastive representation learning is a scholarly article[1].
Key Facts
MMCL-CDR: enhancing cancer drug response prediction with multi-omics and morphology images contrastive representation learning's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). MMCL-CDR: enhancing cancer drug response prediction with multi-omics and morphology images contrastive representation learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/mmcl-cdr-enhancing-cancer-drug-response-prediction-with-multi-omics-and-morphology-images-contrastive-representation-lea
MLA“MMCL-CDR: enhancing cancer drug response prediction with multi-omics and morphology images contrastive representation learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/mmcl-cdr-enhancing-cancer-drug-response-prediction-with-multi-omics-and-morphology-images-contrastive-representation-lea.
BibTeX@misc{4ortxyz_mmcl-cdr-enhancing-cancer-drug-response-prediction-with-multi-omics-and-morphology-images-contrastive-representation-lea_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{MMCL-CDR: enhancing cancer drug response prediction with multi-omics and morphology images contrastive representation learning}}, year = {2026}, url = {https://4ort.xyz/entity/mmcl-cdr-enhancing-cancer-drug-response-prediction-with-multi-omics-and-morphology-images-contrastive-representation-lea}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): MMCL-CDR: enhancing cancer drug response prediction with multi-omics and morphology images contrastive representation learning — https://4ort.xyz/entity/mmcl-cdr-enhancing-cancer-drug-response-prediction-with-multi-omics-and-morphology-images-contrastive-representation-lea (retrieved 2026-05-24)
