MATES: a deep learning-based model for locus-specific quantification of transposable elements in single cell

Research article (Nature Communications, 2024) · cited 11× · AI/ML
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MATES: a deep learning-based model for locus-specific quantification of transposable elements in single cell

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MATES: a deep learning-based model for locus-specific quantification of transposable elements in single cell is a scholarly article[1].

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  • MATES: a deep learning-based model for locus-specific quantification of transposable elements in single cell's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). MATES: a deep learning-based model for locus-specific quantification of transposable elements in single cell. Retrieved May 24, 2026, from https://4ort.xyz/entity/mates-a-deep-learning-based-model-for-locus-specific-quantification-of-transposable-elements-in-single-cell
MLA “MATES: a deep learning-based model for locus-specific quantification of transposable elements in single cell.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/mates-a-deep-learning-based-model-for-locus-specific-quantification-of-transposable-elements-in-single-cell.
BibTeX @misc{4ortxyz_mates-a-deep-learning-based-model-for-locus-specific-quantification-of-transposable-elements-in-single-cell_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{MATES: a deep learning-based model for locus-specific quantification of transposable elements in single cell}}, year = {2026}, url = {https://4ort.xyz/entity/mates-a-deep-learning-based-model-for-locus-specific-quantification-of-transposable-elements-in-single-cell}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): MATES: a deep learning-based model for locus-specific quantification of transposable elements in single cell — https://4ort.xyz/entity/mates-a-deep-learning-based-model-for-locus-specific-quantification-of-transposable-elements-in-single-cell (retrieved 2026-05-24)

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