Zobrazeno 1 - 10
of 296
pro vyhledávání: '"Pingzhao Hu"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract The composition of cell-type is a key indicator of health. Advancements in bulk gene expression data curation, single cell RNA-sequencing technologies, and computational deconvolution approaches offer a new perspective to learn about the com
Externí odkaz:
https://doaj.org/article/ac6fbc77a84340e09caa45292181379f
Publikováno v:
Journal of Translational Medicine, Vol 22, Iss 1, Pp 1-13 (2024)
Abstract Background Breast Cancer (BC) is a highly heterogeneous and complex disease. Personalized treatment options require the integration of multi-omic data and consideration of phenotypic variability. Radiogenomics aims to merge medical images wi
Externí odkaz:
https://doaj.org/article/3b7ba13d0b1e4d3ba674e6b150d78a11
Autor:
Mohd Wasif Khan, Vivianne Cruz de Jesus, Betty-Anne Mittermuller, Shaan Sareen, Victor Lee, Robert J. Schroth, Pingzhao Hu, Prashen Chelikani
Publikováno v:
Cell Reports, Vol 43, Iss 8, Pp 114635- (2024)
Summary: Early childhood caries (ECC) is influenced by microbial and host factors, including social, behavioral, and oral health. In this cross-sectional study, we analyze interkingdom dynamics in the dental plaque microbiome and its association with
Externí odkaz:
https://doaj.org/article/c6009033753343bf8a29373f5f5cc093
Publikováno v:
iScience, Vol 27, Iss 8, Pp 110447- (2024)
Summary: Early childhood caries (ECC) is a multifactorial disease with a microbiome playing a significant role in caries progression. Understanding changes at the microbiome level in ECC is required to develop diagnostic and preventive strategies. In
Externí odkaz:
https://doaj.org/article/2fb2a9bf4bea48fea5c63246997b7154
Publikováno v:
PLoS Computational Biology, Vol 20, Iss 6, p e1012254 (2024)
Spatial transcriptomics has gained popularity over the past decade due to its ability to evaluate transcriptome data while preserving spatial information. Cell segmentation is a crucial step in spatial transcriptomic analysis, as it enables the avoid
Externí odkaz:
https://doaj.org/article/7807f73cadaf47c2b21afe1f40cf2a05
Autor:
Jiahui Zhang, Weili Kong, Pingzhao Hu, Derek Jonker, Malcolm Moore, Jolie Ringash, Jeremy Shapiro, John Zalcberg, John Simes, Dongsheng Tu, Chris J. O'Callaghan, Geoffrey Liu, Wei Xu
Publikováno v:
Cancer Medicine, Vol 12, Iss 5, Pp 6117-6128 (2023)
Abstract Introduction Analyzing longitudinal cancer quality‐of‐life (QoL) measurements and their impact on clinical outcomes may improve our understanding of patient trajectories during systemic therapy. We applied an unsupervised growth mixture
Externí odkaz:
https://doaj.org/article/e98604b9e01d429ab3224b63de1b5b33
Publikováno v:
Journal of Cheminformatics, Vol 15, Iss 1, Pp 1-14 (2023)
Abstract Graph convolutional neural networks (GCNs) have been repeatedly shown to have robust capacities for modeling graph data such as small molecules. Message-passing neural networks (MPNNs), a group of GCN variants that can learn and aggregate lo
Externí odkaz:
https://doaj.org/article/5568317c8b3a4f7da809d8c0815ca27e
Autor:
Indranil Paul, Dante Bolzan, Ahmed Youssef, Keith A. Gagnon, Heather Hook, Gopal Karemore, Michael U. J. Oliphant, Weiwei Lin, Qian Liu, Sadhna Phanse, Carl White, Dzmitry Padhorny, Sergei Kotelnikov, Christopher S. Chen, Pingzhao Hu, Gerald V. Denis, Dima Kozakov, Brian Raught, Trevor Siggers, Stefan Wuchty, Senthil K. Muthuswamy, Andrew Emili
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-23 (2023)
Epithelial-to-mesenchymal transition (EMT) is a complex process regulated at multiple molecular levels. Here, the authors implement an analytic framework - PAMAF - to integrate data from twelve distinct omics modalities, which they use to understand
Externí odkaz:
https://doaj.org/article/f07b77169d2c404490c225320410df32
Development and validation of a prognostic 15-gene signature for stratifying HER2+/ER+ breast cancer
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 21, Iss , Pp 2940-2949 (2023)
Background: Human epidermal growth receptor 2-positive (HER2+) breast cancer (BC) is a heterogeneous subgroup. Estrogen receptor (ER) status is emerging as a predictive marker within HER2+ BCs, with the HER2+/ER+ cases usually having better survival
Externí odkaz:
https://doaj.org/article/6158a5833f5544c2ae30439be64a9518
Autor:
Qian Liu, Pingzhao Hu
Publikováno v:
Biomarker Research, Vol 11, Iss 1, Pp 1-11 (2023)
Abstract Background It has been believed that traditional handcrafted radiomic features extracted from magnetic resonance imaging (MRI) of tumors are normally shallow and low-ordered. Recent advancement in deep learning technology shows that the high
Externí odkaz:
https://doaj.org/article/ecd45ba081664f84a46212d74f74eb61