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Systematic integration of machine learning algorithms to develop immune escape-related signatures to improve clinical outcomes in lung adenocarcinoma patients.
In Frontiers in immunology ; h5-index 100.0
BACKGROUND :
METHODS :
RESULTS :
CONCLUSION :
Wang Ting, Huang Lin, Zhou Jie, Li Lu
2023
immune checkpoint inhibitors, immune escape, immunothearpy, lung adenocarcacinoma, machine learning (ML)

Identification of genes related to immune enhancement caused by heterologous ChAdOx1-BNT162b2 vaccines in lymphocytes at single-cell resolution with machine learning methods.
In Frontiers in immunology ; h5-index 100.0
Li Jing, Huang FeiMing, Ma QingLan, Guo Wei, Feng KaiYan, Huang Tao, Cai Yu-Dong
2023
ChAdOx1-BNT162b2 vaccine, immune, lymphocyte, machine learning, scRNA-seq profile

Construction of a lipid metabolism-related risk model for hepatocellular carcinoma by single cell and machine learning analysis.
In Frontiers in immunology ; h5-index 100.0
Mou Lisha, Pu Zuhui, Luo Yongxiang, Quan Ryan, So Yunhu, Jiang Hui
2023
GSEA, Machine learning, TMB, hepatocellular carcinoma, immune microenvironment, lipid metabolism, prediction model, scRNA-seq

A simple array integrating machine learning for identification of flavonoids in red wines.
In RSC advances
Qin Jiaojiao, Wang Hao, Xu Yu, Shi Fangfang, Yang Shijie, Huang Hui, Liu Jun, Stewart Callum, Li Linxian, Li Fei, Han Jinsong, Wu Wenwen
2023-Mar-14

Large-Scale metabolomics: Predicting biological age using 10,133 routine untargeted LC-MS measurements.
In Aging cell ; h5-index 58.0
Lassen Johan K, Wang Tingting, Nielsen Kirstine L, Hasselstrøm Jørgen B, Johannsen Mogens, Villesen Palle
2023-Mar-19
accelerated aging, big data, inflammaging, machine learning, metabolomics, molecular biology of aging, tryptophan metabolism

Blood RNA alternative splicing events as diagnostic biomarkers for infectious disease.
In Cell reports methods
Zhang Zijun, Sauerwald Natalie, Cappuccio Antonio, Ramos Irene, Nair Venugopalan D, Nudelman German, Zaslavsky Elena, Ge Yongchao, Gaitas Angelo, Ren Hui, Brockman Joel, Geis Jennifer, Ramalingam Naveen, King David, McClain Micah T, Woods Christopher W, Henao Ricardo, Burke Thomas W, Tsalik Ephraim L, Goforth Carl W, Lizewski Rhonda A, Lizewski Stephen E, Weir Dawn L, Letizia Andrew G, Sealfon Stuart C, Troyanskaya Olga G
2023-Feb-27
RNA splicing, SARS-CoV-2, diagnostic biomarker, host response assays, infectious disease, viral infection
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