Results 41 to 50 of about 48,962 (256)

AARS1‐Mediated RUNX3 K193 Lactylation Enhances the Activation and Cytotoxicity of CD8+T Cells in Smoking‐Related Emphysema

Advanced Science, EarlyView.
Exposure to CS causes an elevation of AARS1 levels, which increases the levels of RUNX3 lactylation at the K193 site and increases protein levels of RUNX3 through inhibition of autolysosomal degradation. Elevated RUNX3 levels promote CD8+T cell activation and augment their cytotoxicity, which induces alveolar epithelial cell death and facilitates the ...
Ying Zhu, Jiaheng Lin, Yifan Li, Qiaoqiao Zhou, Min Yu, Cheng Cheng, Kang Chang, Dang Lin, Tao Bian, Yan Wu, Lu Lu, Haibo Xia, Qizhan Liu   +12 more
wiley   +1 more source

PENERAPAN NAIVE BAYES PADA INTRUSION DETECTION SYSTEM DENGAN DISKRITISASI VARIABEL

JUTI: Jurnal Ilmiah Teknologi Informasi, 2015
Intrusion Detection System (IDS) merupakan sebuah perangkat lunak atau perangkat keras yang dapat digunakan un-tuk mendeteksi adanya aktivitas yang tidak wajar dalam jaringan.
I Nyoman Trisna Wirawan, Ivan Eksistyanto   +1 more
doaj   +1 more source

Klasifikasi Penyakit Kanker Prostat Menggunakan Algoritma Naïve Bayes dan K-Nearest Neighbor

Komputika, 2023
Kanker prostat merupakan kanker yang berkembang di prostat dalam sistem reproduksi pria, hal ini terjadi ketika sel prostat mengalami keterikatan pada reseptor androgen melalui proses molecular docking.
Adi Muzakir, Anita Desiani, Ali Amran
doaj   +1 more source

Artificial Intelligence‐Guided Phenotypic Drug Repurposing Against Streptococcus pneumoniae

Advanced Science, EarlyView.
Integrated artificial intelligence (AI) ensembles identify highly potent repurposed drugs against Streptococcus pneumoniae. Prospective virtual screening of 6747 drugs uncovers nine active candidates, including thiostrepton. This drug exhibits low picomolar potency and bypasses established resistance in multidrug‐resistant strains, demonstrating an ...
Joshua S. Fitch, Muhammad D. Ariadi, Min Jung Kwun, Leonie Howells, Saiveth Hernandez‐Hernandez, Nicholas J. Croucher, Pedro J. Ballester   +6 more
wiley   +1 more source

Application of Naïve Bayes Classifiers for Family Risk Identification and Stunting Intervention Planning

Journal of Applied Informatics and Computing
Stunting remains a significant public health concern influenced by a combination of social, economic, and environmental factors. This study aims to implement the Naïve Bayes algorithm to support the determination of appropriate intervention strategies ...
Wildan Indra Kurniawan, Joko Triloka
doaj   +1 more source

PREDIKSI PENYAKIT GINJAL KRONIS MENGGUNAKAN ALGORITMA NAIVE BAYES CLASSIFIER BERBASIS PARTICLE SWARM OPTIMIZATION

Jurnal Tekno Insentif, 2019
Abstrak - Penyakit ginjal kronis (PGK) merupakan masalah kesehatan masyarakat global dengan prevalensi dan insiden gagal ginjal yang meningkat, prognosis yang buruk dan biaya yang tinggi.
Toni Arifin, Daniel Ariesta
doaj   +1 more source

TSTScope Unifies Single‐Cell Multi‐Omics to Identify Functional T Cell States Predictive of Immunotherapy Response

Advanced Science, EarlyView.
TSTScope is an interpretable AI framework that integrates single‐cell transcriptomes with TCR information through curated gene‐program constraints. By linking receptor context to functional T cell states, it reveals response‐associated tumor‐specific T cell programs in lung cancer immunotherapy cohorts and defines an MPR score associated with ...
Shiwei Cao, Jinyu Cheng, Feng‐ao Wang, Chenxin Yi, Jiajun Chen, Keyue Wang, Lulu Liu, Junwei Liu, Yixue Li   +8 more
wiley   +1 more source

Naïve and Semi-Naïve Bayesian Classification of Landslide Susceptibility Applied to the Kulekhani River Basin in Nepal as a Test Case

Geosciences, 2023
Naïve Bayes classification is widely used for landslide susceptibility analysis, especially in the form of weights-of-evidence. However, when significant conditional dependence is present, the probabilities derived from weights-of-evidence are biased ...
Florimond De Smedt, Prabin Kayastha, Megh Raj Dhital   +2 more
doaj   +1 more source

Biochemically Constrained Multi‐Omics Integration Reveals Protein–Metabolite Dependencies Across Diseases

Advanced Science, EarlyView.
ProMetNet introduces a biologically constrained deep learning framework for proteo‐metabolomic integration by embedding Reactome‐derived pathway topology into neural networks. It captures non‐linear molecular dependencies and pathway‐level metabolic reorganization, enabling interpretable discrimination.
Minghui Zhao, Na Zhou, Ruotong Liu, Xiaofei Li, Jian Li, Fuzhong Xue, Qingzhen Hou   +6 more
wiley   +1 more source

A shared mucosal gut microbiota signature in primary sclerosing cholangitis before and after liver transplantation

Hepatology, EarlyView., 2022
In this study of the gut mucosal microbiota in primary sclerosing cholangitis (PSC), we found consistent microbiota features associated with PSC and recurrent PSC, PSC with inflammatory bowel disease and a persistent gut dysbiosis after liver transplantation Abstract Background and Aims Several characteristic features of the fecal microbiota have been ...
Mikal Jacob Hole, Kristin Kaasen Jørgensen, Kristian Holm, Peder R. Braadland, Malin Holm Meyer‐Myklestad, Asle Wilhelm Medhus, Dag Henrik Reikvam, Alexandra Götz, Krzysztof Grzyb, Kirsten Muri Boberg, Tom Hemming Karlsen, Martin Kummen, Johannes R. Hov   +12 more
wiley   +1 more source