Zobrazeno 1 - 10
of 253
pro vyhledávání: '"Multi-Omics Data Integration"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Squamous cell lung cancer (SQCLC), which is fatal to humans, is heterogeneous with different genetic and histological features. We used SBMOI, a multi-omics data integration method from previous study, to integrate clinical, gene expression,
Externí odkaz:
https://doaj.org/article/5a35b635426d45168e6376488fab8811
Autor:
Sonya Neto, Andreia Reis, Miguel Pinheiro, Margarida Ferreira, Vasco Neves, Teresa Costa Castanho, Nadine Santos, Ana João Rodrigues, Nuno Sousa, Manuel A. S. Santos, Gabriela R. Moura
Publikováno v:
Human Genomics, Vol 18, Iss 1, Pp 1-16 (2024)
Abstract Background Aging represents a significant risk factor for the occurrence of cerebral small vessel disease, associated with white matter (WM) lesions, and to age-related cognitive alterations, though the precise mechanisms remain largely unkn
Externí odkaz:
https://doaj.org/article/2e0c7763ac12478f9c1753c74e574d65
Publikováno v:
Frontiers in Immunology, Vol 15 (2024)
The tumor microenvironment (TME) plays a crucial role in tumor progression and immunoregulation. Major histocompatibility complex class II (MHC-II) is essential for immune surveillance within the TME. While MHC-II genes are typically expressed by pro
Externí odkaz:
https://doaj.org/article/cb09e89bbe7f4e75982285fbd8bcbce3
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-19 (2024)
Abstract Background Classifying breast cancer subtypes is crucial for clinical diagnosis and treatment. However, the early symptoms of breast cancer may not be apparent. Rapid advances in high-throughput sequencing technology have led to generating l
Externí odkaz:
https://doaj.org/article/a11e095a40ec426d8ff9efa446064402
Autor:
Hazem Qattous, Mohammad Azzeh, Rahmeh Ibrahim, Ibrahim Abed Al-Ghafer, Mohammad Al Sorkhy, Abedalrhman Alkhateeb
Publikováno v:
Heliyon, Vol 10, Iss 1, Pp e23195- (2024)
Aims: The multi-omics data integration has emerged as a prominent avenue within the healthcare industry, presenting substantial potential for enhancing predictive models. The main motivation behind this study stems from the imperative need to advance
Externí odkaz:
https://doaj.org/article/5234d402457043ac82924262516411c3
Autor:
Yating Zhong, Yuzhong Peng, Yanmei Lin, Dingjia Chen, Hao Zhang, Wen Zheng, Yuanyuan Chen, Changliang Wu
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 23, Iss 1, Pp 1-18 (2023)
Abstract Background Accurately classifying complex diseases is crucial for diagnosis and personalized treatment. Integrating multi-omics data has been demonstrated to enhance the accuracy of analyzing and classifying complex diseases. This can be att
Externí odkaz:
https://doaj.org/article/c07a97178f874f368261e391116117fd
Publikováno v:
BMC Genomics, Vol 23, Iss 1, Pp 1-19 (2022)
Abstract Background As omics measurements profiled on different molecular layers are interconnected, integrative approaches that incorporate the regulatory effect from multi-level omics data are needed. When the multi-level omics data are from the sa
Externí odkaz:
https://doaj.org/article/48c44e0f70e44f3dbc07b8dab7d1e75b
Publikováno v:
Applied Sciences, Vol 14, Iss 7, p 2728 (2024)
The precise classification of breast cancer subtypes is crucial for clinical diagnosis and treatment, yet early symptoms are often subtle. The use of multi-omics data from high-throughput sequencing can improve the classification accuracy. However, m
Externí odkaz:
https://doaj.org/article/cf06505d91dd4e1f833dc308bdf27eb9
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Akademický článek
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