Zobrazeno 1 - 10
of 938
pro vyhledávání: '"cancer subtype"'
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-19 (2024)
Abstract Background The integration of multi-omics data through deep learning has greatly improved cancer subtype classification, particularly in feature learning and multi-omics data integration. However, key challenges remain in embedding sample st
Externí odkaz:
https://doaj.org/article/912cfbb6e5f945dbb5448023c3191a94
Publikováno v:
Frontiers in Bioinformatics, Vol 4 (2024)
The identification of cancer subtypes plays a very important role in the field of medicine. Accurate identification of cancer subtypes is helpful for both cancer treatment and prognosis Currently, most methods for cancer subtype identification are ba
Externí odkaz:
https://doaj.org/article/4f014307b12741179c935d5f6d0a9626
Autor:
Mazin Mohammed
Publikováno v:
Iraqi Journal for Computer Science and Mathematics, Vol 5, Iss 3 (2024)
Integrating multiple omics data can significantly improve the accuracy of cancer subclassification, a challenging task due to the high dimensionality and limited sample sizes. The integration of these data sets can enhance model performance. This stu
Externí odkaz:
https://doaj.org/article/f5c2a51a40a545c2ad8b576aee84a829
Autor:
Yalan Yan, Sijie Li, Lanqian Su, Xinrui Tang, Xiaoyan Chen, Xiang Gu, Guanhu Yang, Hao Chi, Shangke Huang
Publikováno v:
Frontiers in Pharmacology, Vol 15 (2024)
Breast cancer, due to resistance to standard therapies such as endocrine therapy, anti-HER2 therapy and chemotherapy, continues to pose a major health challenge. A growing body of research emphasizes the heterogeneity and plasticity of metabolism in
Externí odkaz:
https://doaj.org/article/6c38e4fa446f4a4c85e9ddcd8b7749fe
Publikováno v:
IEEE Access, Vol 12, Pp 155309-155329 (2024)
Lung cancer has been causing death at alarming rates across the globe. Identification of cancer subtypes and prediction of patient survival rate can significantly enhance treatment management. The existing methodologies on the two aspects mentioned a
Externí odkaz:
https://doaj.org/article/5e0f3bd5db69405fab966b8fbbfbd91d
Autor:
Mohsen Rahmanian, Eghbal G. Mansoori
Publikováno v:
IEEE Access, Vol 12, Pp 133617-133631 (2024)
With the advent of advanced genomic data extraction methods, numerous studies have been utilized these data to identify cancer subtypes. Given the complexity of cancer subtyping and the limitations of single-omics data, multi-omics approaches have em
Externí odkaz:
https://doaj.org/article/7c35ebb71e884b8287450967dcb3a494
Publikováno v:
IEEE Access, Vol 12, Pp 27768-27783 (2024)
The integration of multi-omics data has emerged as a promising approach for gaining comprehensive insights into complex diseases such as cancer. This paper proposes a novel approach to identify cancer subtypes through the integration of multi-omics d
Externí odkaz:
https://doaj.org/article/0eefb2883a1e4b21b6564be684b24fdc
Autor:
S. M. Nuruzzaman Nobel, S M Masfequier Rahman Swapno, Md. Ashraful Hossain, Mejdl Safran, Sultan Alfarhood, Md. Mohsin Kabir, M. F. Mridha
Publikováno v:
Tomography, Vol 10, Iss 1, Pp 105-132 (2024)
Ovarian cancer, a deadly female reproductive system disease, is a significant challenge in medical research due to its notorious lethality. Addressing ovarian cancer in the current medical landscape has become more complex than ever. This research ex
Externí odkaz:
https://doaj.org/article/038cd72f49ff4c618e14dde4693c5f9b
Autor:
Bingjun Li, Sheida Nabavi
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-19 (2024)
Abstract Background The recent development of high-throughput sequencing has created a large collection of multi-omics data, which enables researchers to better investigate cancer molecular profiles and cancer taxonomy based on molecular subtypes. In
Externí odkaz:
https://doaj.org/article/98d14d666f8243a6bfde9a2f2e7fbf48
Publikováno v:
IEEE Access, Vol 12, Pp 5562-5574 (2024)
Tumor samples clustering based on subspace segmentation is an effective method to discover cancer subtypes. Accurate and reliable identifications of cancer subtypes are crucial for understanding cancer pathogenesis as well as clinical diagnosis and t
Externí odkaz:
https://doaj.org/article/f857446ab4bc4034b0b1452e63eb6499