Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Yanhao Huo"'
Autor:
Xianbin Li, Minzhen Liao, Bing Wang, Xiangzhen Zan, Yanhao Huo, Yue Liu, Zhenshen Bao, Peng Xu, Wenbin Liu
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 21, Iss , Pp 4446-4455 (2023)
Numerous computational drug repurposing methods have emerged as efficient alternatives to costly and time-consuming traditional drug discovery approaches. Some of these methods are based on the assumption that the candidate drug should have a reversa
Externí odkaz:
https://doaj.org/article/92d29c109e874640ad6beafdff8b77b6
Publikováno v:
BMC Bioinformatics, Vol 22, Iss S12, Pp 1-16 (2022)
Abstract Background During the pathogenesisof complex diseases, a sudden health deterioration will occur as results of the cumulative effect of various internal or external factors. The prediction of an early warning signal (pre-disease state) before
Externí odkaz:
https://doaj.org/article/599839923e76479aabf0117aa3954921
Publikováno v:
Frontiers in Genetics, Vol 13 (2022)
Breast cancer is a heterogeneous disease, and its development is closely associated with the underlying molecular regulatory network. In this paper, we propose a new way to measure the regulation strength between genes based on their expression value
Externí odkaz:
https://doaj.org/article/85d20d5c3cf946db8f3f18786dcf34d4
Publikováno v:
Current Bioinformatics. 18
Introduction: Angiogenesis is one of the hallmarks of cancer and can impact the processes of cancer initiation, progression, and response to therapy. Background: Anti-angiogenic therapy is thus an encouraging therapeutic option to treat cancers, but
Publikováno v:
Briefings in Functional Genomics.
As a dynamical system, complex disease always has a sudden state transition at the tipping point, which is the result of the long-term accumulation of abnormal regulations. This paper proposes a novel approach to detect the early-warning signals of i
Publikováno v:
Journal of Theoretical Biology. 486:110098
At present, with the in-depth study of gene expression data, the significant role of tumor classification in clinical medicine has become more apparent. In particular, the sparse characteristics of gene expression data within and between groups. Ther
Publikováno v:
Journal of theoretical biology. 463
At present, the study of gene expression data provides a reference for tumor diagnosis at the molecular level. It is a challenging task to select the feature genes related to the classification from the high-dimensional and small-sample gene expressi