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Dhaka: variational autoencoder for unmasking tumor heterogeneity from single cell genomic data

Research article (Bioinformatics, 2019) · cited 61× · AI/ML
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Dhaka: variational autoencoder for unmasking tumor heterogeneity from single cell genomic data

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Dhaka: variational autoencoder for unmasking tumor heterogeneity from single cell genomic data is a scholarly article[1].

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  • Dhaka: variational autoencoder for unmasking tumor heterogeneity from single cell genomic data's instance of is recorded as scholarly article[2].

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  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Dhaka: variational autoencoder for unmasking tumor heterogeneity from single cell genomic data. Retrieved May 24, 2026, from https://4ort.xyz/entity/dhaka-variational-autoencoder-for-unmasking-tumor-heterogeneity-from-single-cell-genomic-data
MLA “Dhaka: variational autoencoder for unmasking tumor heterogeneity from single cell genomic data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/dhaka-variational-autoencoder-for-unmasking-tumor-heterogeneity-from-single-cell-genomic-data.
BibTeX @misc{4ortxyz_dhaka-variational-autoencoder-for-unmasking-tumor-heterogeneity-from-single-cell-genomic-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Dhaka: variational autoencoder for unmasking tumor heterogeneity from single cell genomic data}}, year = {2026}, url = {https://4ort.xyz/entity/dhaka-variational-autoencoder-for-unmasking-tumor-heterogeneity-from-single-cell-genomic-data}, note = {Accessed: 2026-05-24}}
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