Zhang HH - Search Results

1

Adapting nanopore sequencing basecalling models for modification detection via incremental learning and anomaly detection.

Wang Z, Fang Y, Liu Z, Hao N, Zhang HH, Sun X, Que J, Ding H. Wang Z, et al. Among authors: zhang hh. Nat Commun. 2024 Aug 21;15(1):7148. doi: 10.1038/s41467-024-51639-5. Nat Commun. 2024. PMID: 39169028 Free PMC article.

2

Training data diversity enhances the basecalling of novel RNA modification-induced nanopore sequencing readouts.

Wang Z, Liu Z, Fang Y, Zhang HH, Sun X, Hao N, Que J, Ding H. Wang Z, et al. Among authors: zhang hh. Nat Commun. 2025 Jan 15;16(1):679. doi: 10.1038/s41467-025-55974-z. Nat Commun. 2025. PMID: 39814719 Free PMC article.

3

eQTL networks unveil enriched mRNA master integrators downstream of complex disease-associated SNPs.

Li H, Pouladi N, Achour I, Gardeux V, Li J, Li Q, Zhang HH, Martinez FD, 'Skip' Garcia JGN, Lussier YA. Li H, et al. Among authors: zhang hh. J Biomed Inform. 2015 Dec;58:226-234. doi: 10.1016/j.jbi.2015.10.010. Epub 2015 Oct 30. J Biomed Inform. 2015. PMID: 26524128 Free PMC article.

4

Robust brain MRI image classification with SIBOW-SVM.

Zeng L, Zhang HH. Zeng L, et al. Among authors: zhang hh. Comput Med Imaging Graph. 2024 Dec;118:102451. doi: 10.1016/j.compmedimag.2024.102451. Epub 2024 Oct 24. Comput Med Imaging Graph. 2024. PMID: 39515189

5

Extensive evaluation of ATAC-seq protocols for native or formaldehyde-fixed nuclei.

Zhang H, Rice ME, Alvin JW, Farrera-Gaffney D, Galligan JJ, Johnson MDL, Cusanovich DA. Zhang H, et al. BMC Genomics. 2022 Mar 17;23(1):214. doi: 10.1186/s12864-021-08266-x. BMC Genomics. 2022. PMID: 35296236 Free PMC article.

6

Using machine learning techniques to predict viral suppression among people with HIV.

Yang X, Cai R, Ma Y, Zhang HH, Sun X, Olatosi B, Weissman S, Li X, Zhang J. Yang X, et al. Among authors: zhang j, zhang hh. J Acquir Immune Defic Syndr. 2024 Nov 19. doi: 10.1097/QAI.0000000000003561. Online ahead of print. J Acquir Immune Defic Syndr. 2024. PMID: 39561000

7

kMEn: Analyzing noisy and bidirectional transcriptional pathway responses in single subjects.

Li Q, Schissler AG, Gardeux V, Berghout J, Achour I, Kenost C, Li H, Zhang HH, Lussier YA. Li Q, et al. Among authors: zhang hh. J Biomed Inform. 2017 Feb;66:32-41. doi: 10.1016/j.jbi.2016.12.009. Epub 2016 Dec 19. J Biomed Inform. 2017. PMID: 28007582 Free PMC article.

8

Use of machine learning approaches to predict transition of retention in care among people living with HIV in South Carolina: a real-world data study.

Cai R, Yang X, Ma Y, Zhang HH, Olatosi B, Weissman S, Li X, Zhang J. Cai R, et al. Among authors: zhang j, zhang hh. AIDS Care. 2024 Dec;36(12):1745-1753. doi: 10.1080/09540121.2024.2361245. Epub 2024 Jun 4. AIDS Care. 2024. PMID: 38833544 Free article.

9

Machine learning for Big Data analytics in plants.

Ma C, Zhang HH, Wang X. Ma C, et al. Among authors: zhang hh. Trends Plant Sci. 2014 Dec;19(12):798-808. doi: 10.1016/j.tplants.2014.08.004. Epub 2014 Sep 12. Trends Plant Sci. 2014. PMID: 25223304 Review.

10

Personalized beyond Precision: Designing Unbiased Gold Standards to Improve Single-Subject Studies of Personal Genome Dynamics from Gene Products.

Rachid Zaim S, Kenost C, Zhang HH, Lussier YA. Rachid Zaim S, et al. Among authors: zhang hh. J Pers Med. 2020 Dec 31;11(1):24. doi: 10.3390/jpm11010024. J Pers Med. 2020. PMID: 33396440 Free PMC article.

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