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Paper

Tang, Ziqi, Koo, Peter K (March 2024) Evaluating the representational power of pre-trained DNA language models for regulatory genomics. bioRxiv. (Public Dataset) (Submitted)

Tang, Ziqi, Toneyan, Shushan, Koo, Peter K (December 2023) Current approaches to genomic deep learning struggle to fully capture human genetic variation. Nature Genetics, 55 (12). pp. 2021-2022. ISSN 1061-4036

Lee, Nicholas Keone, Tang, Ziqi, Toneyan, Shushan, Koo, Peter K (May 2023) EvoAug: improving generalization and interpretability of genomic deep neural networks with evolution-inspired data augmentations. Genome Biology, 24 (1). p. 105. ISSN 1474-760X

Karakida Kawaguchi, Risa, Tang, Ziqi, Fischer, Stephan, Rajesh, Chandana, Tripathy, Rohit, Koo, Peter K, Gillis, Jesse (December 2022) Learning single-cell chromatin accessibility profiles using meta-analytic marker genes. Briefings in Bioinformatics. bbac541. ISSN 1467-5463

Toneyan, Shushan, Tang, Ziqi, Koo, Peter K (December 2022) Evaluating deep learning for predicting epigenomic profiles. Nature Machine Intelligence, 4 (12). pp. 1088-1100. ISSN 2522-5839

Toneyan, Shushan, Tang, Ziqi, Koo, Peter K (May 2022) Evaluating deep learning for predicting epigenomic profiles. bioRxiv. (Unpublished)

Lee, Nicholas Keone, Tang, Ziqi, Toneyan, Shushan, Koo, Peter (2022) EvoAug: improving generalization and interpretability of genomic deep neural networks with evolution-inspired data augmentations. bioRxiv. (Submitted)

Kawaguchi, Risa Karakida, Tang, Ziqi, Fischer, Stephan, Tripathy, Rohit, Koo, Peter, Gillis, Jesse (April 2021) Exploiting marker genes for robust classification and characterization of single-cell chromatin accessibility. bioRxiv. (Unpublished)

This list was generated on Tue May 21 07:44:13 2024 EDT.
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