Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Kebo Lv"'
Publikováno v:
Microbiology Spectrum, Vol 11, Iss 3 (2023)
ABSTRACT Differences in tissue microbiota-host interaction between lung squamous cell carcinoma (LUSC) and lung adenocarcinoma (LUAD) about recurrence and metastasis have not been well studied. In this study, we performed bioinformatics analyses to i
Externí odkaz:
https://doaj.org/article/424ada7dcc1c41e19aa5816d76114dd7
Publikováno v:
Frontiers in Microbiology, Vol 13 (2022)
BackgroundLocal recurrence and distant metastasis are the main causes of death in patients with lung cancer. Multiple studies have described the recurrence or metastasis of lung cancer at the genetic level. However, association between the microbiome
Externí odkaz:
https://doaj.org/article/aa4e3e2e66114c59b66fdda492998ac0
Autor:
Yongchang Miao, Xueliang Zhang, Sijie Chen, Wenjing Zhou, Dalai Xu, Xiaoli Shi, Jian Li, Jinhui Tu, Xuelian Yuan, Kebo Lv, Geng Tian
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
Cancer of unknown primary (CUP) refers to cancer with primary lesion unidentifiable by regular pathological and clinical diagnostic methods. This kind of cancer is extremely difficult to treat, and patients with CUP usually have a very short survival
Externí odkaz:
https://doaj.org/article/85e81bcc422f4f209c8edf7f3cfdb4ad
A Novel XGBoost Method to Infer the Primary Lesion of 20 Solid Tumor Types From Gene Expression Data
Autor:
Sijie Chen, Wenjing Zhou, Jinghui Tu, Jian Li, Bo Wang, Xiaofei Mo, Geng Tian, Kebo Lv, Zhijian Huang
Publikováno v:
Frontiers in Genetics, Vol 12 (2021)
PurposeEstablish a suitable machine learning model to identify its primary lesions for primary metastatic tumors in an integrated learning approach, making it more accurate to improve primary lesions’ diagnostic efficiency.MethodsAfter deleting the
Externí odkaz:
https://doaj.org/article/ffbc2f81cd6847a4a61b6eae88ef9349
Publikováno v:
Computers in Biology and Medicine. 159:106873
Publikováno v:
Combinatorial Chemistry & High Throughput Screening. 19:714-719
Background: The breast is an important biological system of human with two distinct states, i.e. normal and tumoral. Research on breast cancer could be based on systematic modeling to contrast the system structures of these two states. Objective: We
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 9:2658-2664
Study of sea surface salinity (SSS) plays an important role in the marine ecosystem, estimation of global ocean circulation and observation of fisheries, aquaculture, coral reef, and sea grass habitats. Three statistical methods applied without consi
Publikováno v:
Computational and Mathematical Methods in Medicine, Vol 2018 (2018)
Computational and Mathematical Methods in Medicine
Computational and Mathematical Methods in Medicine
A novel model for cascading failures in a directed logic network based on the degree strength at a node was proposed. The definitions of in-degree and out-degree strength of a node were initially reconsidered, and the load at a nonisolated node was p
Publikováno v:
Computational and Mathematical Methods in Medicine, Vol 2015 (2015)
Computational and Mathematical Methods in Medicine
Computational and Mathematical Methods in Medicine
Detailed and innovative analysis of gene regulatory network structures may reveal novel insights to biological mechanisms. Here we study how gene regulatory network inSaccharomyces cerevisiaecan differ under aerobic and anaerobic conditions. To achie
Publikováno v:
IGARSS
With the perspective of discriminating some regions particularly suited or unsuited to sea surface salinity retrieval studies by satellite data, the horizontal and vertical Sea surface salinity variability for different time scale is calculated in So