Jiajie Peng
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Explore the profile of Jiajie Peng including associated specialties, affiliations and a list of published articles.
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82
Citations
1245
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Recent Articles
1.
Zhu P, Shu H, Wang Y, Wang X, Zhao Y, Hu J, et al.
Brief Bioinform
. 2025 Mar;
26(2).
PMID: 40052440
Spatial transcriptomics (ST) technology provides gene expression profiles with spatial context, offering critical insights into cellular interactions and tissue architecture. A core task in ST is spatial domain identification, which...
2.
Wang Y, Luo J, Jiao S, Xie X, Wang T, Liu J, et al.
Small Methods
. 2025 Mar;
:e2401272.
PMID: 40045664
Spatial transcriptomics revolutionizes the understanding of tissue organization and cellular interactions by combining high-resolution spatial information with gene expression profiles. Existing spatial transcriptomics analysis platforms face challenges in accommodating diverse...
3.
Wang Y, Shen W, Shen Y, Feng S, Wang T, Shang X, et al.
IEEE J Biomed Health Inform
. 2024 Sep;
PP.
PMID: 39255076
Circular RNAs (circRNAs) play a crucial role in gene regulation and have been implicated in the development of drug resistance in cancer, representing a significant challenge in oncological therapeutics. Despite...
4.
Wang T, Geng J, Zeng X, Han R, Huh Y, Peng J
NPJ Parkinsons Dis
. 2024 Aug;
10(1):164.
PMID: 39198455
Previous observational studies suggested that sarcopenia is associated with Parkinson disease (PD), but it is unclear whether this association is causal. The objective of this study was to examine causal...
5.
Peng J, Bao Z, Li J, Han R, Wang Y, Han L, et al.
Fundam Res
. 2024 Aug;
4(4):752-760.
PMID: 39156563
The potential for being able to identify individuals at high disease risk solely based on genotype data has garnered significant interest. Although widely applied, traditional polygenic risk scoring methods fall...
6.
Wang T, Shu H, Hu J, Wang Y, Chen J, Peng J, et al.
Brief Bioinform
. 2024 Jul;
25(4).
PMID: 38975895
Spatial transcriptomics provides valuable insights into gene expression within the native tissue context, effectively merging molecular data with spatial information to uncover intricate cellular relationships and tissue organizations. In this...
7.
Leventhal M, Zanella C, Kang B, Peng J, Gritsch D, Liao Z, et al.
bioRxiv
. 2024 Apr;
PMID: 38559190
Despite years of intense investigation, the mechanisms underlying neuronal death in Alzheimer's disease, the most common neurodegenerative disorder, remain incompletely understood. To define relevant pathways, we integrated the results of...
8.
Liao H, Chen X, Wang H, Lin Y, Chen L, Yuan K, et al.
Cancer Res
. 2024 Mar;
84(11):1747-1763.
PMID: 38471085
Significance: Characterization of the DNA methylome of intrahepatic cholangiocarcinoma integrated with genomic, transcriptomic, and proteomic analyses uncovers molecular mechanisms affected by genome-wide DNA methylation alterations, providing a resource for identifying...
9.
Wang T, Yan Z, Zhang Y, Lou Z, Zheng X, Mai D, et al.
Comput Biol Med
. 2024 Feb;
171:108108.
PMID: 38359659
While genome-wide association studies (GWAS) have unequivocally identified vast disease susceptibility variants, a majority of them are situated in non-coding regions and are in high linkage disequilibrium (LD). To pave...
10.
Wang J, Xiao Y, Shang X, Peng J
Brief Bioinform
. 2024 Jan;
25(1).
PMID: 38221904
Identifying the binding affinity between a drug and its target is essential in drug discovery and repurposing. Numerous computational approaches have been proposed for understanding these interactions. However, most existing...