Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Lihe Liu"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Limited population-based studies discuss the association between fat mass index (FMI) and the risk of liver diseases. This investigation utilized data from the National Health and Nutrition Examination Survey (NHANES) to examine the linkage
Externí odkaz:
https://doaj.org/article/c671d1083f82479f8a59ec6ac10f16fb
Autor:
Lihe Liu, Jiaxi Lin, Lu Liu, Jingwen Gao, Guoting Xu, Minyue Yin, Xiaolin Liu, Airong Wu, Jinzhou Zhu
Publikováno v:
Digital Health, Vol 10 (2024)
Background Nonalcoholic fatty liver disease (NAFLD) is recognized as one of the most common chronic liver diseases worldwide. This study aims to assess the efficacy of automated machine learning (AutoML) in the identification of NAFLD using a populat
Externí odkaz:
https://doaj.org/article/4163b409fa7548138c36327edbb28efa
Publikováno v:
Aquaculture Reports, Vol 36, Iss , Pp 102159- (2024)
This study explored the role of dietary yeast nucleotide (YN) on the growth performance and muscle quality of juvenile largemouth bass (LMB). Six experimental extruded diets containing 0%, 0.2%, 0.4%, 0.6%, 0.8% and 1.0% of YN respectively were fed t
Externí odkaz:
https://doaj.org/article/2a2842962cb5402ca824d8c12d88ca78
Autor:
Chenghao Lu, Lu Liu, Minyue Yin, Jiaxi Lin, Shiqi Zhu, Jingwen Gao, Shuting Qu, Guoting Xu, Lihe Liu, Jinzhou Zhu, Chunfang Xu
Publikováno v:
Frontiers in Medicine, Vol 11 (2024)
BackgroundLymph node metastasis (LNM) is considered an essential prognosis factor for adenocarcinoma of the esophagogastric junction (AEG), which also affects the treatment strategies of AEG. We aimed to evaluate automated machine learning (AutoML) a
Externí odkaz:
https://doaj.org/article/bcd6368da2f04daeac48a62c8f2b4048
Autor:
Jiaxi Lin, Shiqi Zhu, Minyue Yin, Hongchen Xue, Lu Liu, Xiaolin Liu, Lihe Liu, Chunfang Xu, Jinzhou Zhu
Publikováno v:
Heliyon, Vol 10, Iss 4, Pp e26559- (2024)
Background and aim: Standard deep learning methods have been found inadequate in distinguishing between intestinal tuberculosis (ITB) and Crohn's disease (CD), a shortcoming largely attributed to the scarcity of available samples. In light of this li
Externí odkaz:
https://doaj.org/article/b8aa9a1057a54d97b20d371b61bef0fa
Autor:
Rocío Amorín, Lihe Liu, Philipe Moriel, Nicolás DiLorenzo, Phillip A. Lancaster, Francisco Peñagaricano
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-8 (2023)
Abstract Maternal nutrition during pregnancy can induce epigenetic alterations in the fetal genome, such as changes in DNA methylation. It remains unclear whether these epigenetic alterations due to changes in maternal nutrition are transitory or per
Externí odkaz:
https://doaj.org/article/3cd0d129fa8b4dfeb5f33d375f33bc9e
Publikováno v:
Aquaculture Reports, Vol 29, Iss , Pp 101479- (2023)
This study investigated effects of extruded diet (ED) and pelleted diet (PD) with differing dietary protein levels on growth performance and nutrient utilization in juvenile largemouth bass (LMB). Nine hundred LMB (initial body weight of 6.47 ± 0.1
Externí odkaz:
https://doaj.org/article/9b411955ab3040e68ab5a996c890b321
Autor:
Lihe Liu, Rocío Amorín, Philipe Moriel, Nicolás DiLorenzo, Phillip A. Lancaster, Francisco Peñagaricano
Publikováno v:
BMC Genomics, Vol 22, Iss 1, Pp 1-11 (2021)
Abstract Background The evaluation of alternative splicing, including differential isoform expression and differential exon usage, can provide some insights on the transcriptional changes that occur in response to environmental perturbations. Materna
Externí odkaz:
https://doaj.org/article/3dfd692f31974113a9a77fcd335bf699
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Abstract In mammals, peripheral serotonin is involved in regulating energy balance. Herein, we characterized the transcriptomic profile and microstructure of adipose and muscle in pre-weaned calves with increased circulating serotonin. Holstein bull
Externí odkaz:
https://doaj.org/article/c7d0f459aea14e78b8bc979a922e6694
Autor:
Lihe Liu, Rocío Amorín, Philipe Moriel, Nicolás DiLorenzo, Phillip A. Lancaster, Francisco Peñagaricano
Publikováno v:
BMC Genomics, Vol 21, Iss 1, Pp 1-12 (2020)
Abstract Background Coexpression network analysis is a powerful tool to reveal transcriptional regulatory mechanisms, identify transcription factors, and discover gene functions. It can also be used to investigate changes in coexpression patterns in
Externí odkaz:
https://doaj.org/article/7e0b4912e3874d69bbedc54ddd5b1679