Zobrazeno 1 - 10
of 89 517
pro vyhledávání: '"Cancer subtypes"'
Autor:
Sholehrasa, Hossein
Breast cancer's complexity and variability pose significant challenges in understanding its progression and guiding effective treatment. This study aims to integrate protein sequence data with expression levels to improve the molecular characterizati
Externí odkaz:
http://arxiv.org/abs/2410.01755
Autor:
Sasaki, Tamlyn1 (AUTHOR) tamlyn21@hawaii.edu, Liyanage, Akash1 (AUTHOR) nueno@cc.hawaii.edu, Bansil, Surbhi1 (AUTHOR), Silva, Anthony1 (AUTHOR), Pagano, Ian2 (AUTHOR) ipagano@cc.hawaii.edu, Hidalgo, Elena Y.3 (AUTHOR), Jones, Corinne4 (AUTHOR) corinne.jones@kapiolani.org, Ueno, Naoto T.1,2,4,5 (AUTHOR) ytakahashi@cc.hawaii.edu, Takahashi, Yoko2 (AUTHOR), Fukui, Jami1,2,4,5 (AUTHOR) jfukui@cc.hawaii.edu
Publikováno v:
Cancers. Oct2024, Vol. 16 Issue 20, p3462. 14p.
Autor:
Huang, Yiran1,2 (AUTHOR), Zeng, Pingfan1 (AUTHOR), Zhong, Cheng1,2 (AUTHOR) chzhong@gxu.edu.cn
Publikováno v:
BMC Bioinformatics. 3/27/2024, Vol. 25 Issue 1, p1-19. 19p.
Autor:
Jin, Yuan, Ma, Gege, Chen, Geng, Lyu, Tianling, Egger, Jan, Lyu, Junhui, Zhang, Shaoting, Zhu, Wentao
The accurate diagnosis of pathological subtypes of lung cancer is of paramount importance for follow-up treatments and prognosis managements. Assessment methods utilizing deep learning technologies have introduced novel approaches for clinical diagno
Externí odkaz:
http://arxiv.org/abs/2407.13092
Autor:
Xie, Tian1,2 (AUTHOR), Qiu, Bing-Mei1 (AUTHOR), Luo, Jing1 (AUTHOR), Diao, Yi-Fei1 (AUTHOR), Hu, Li-Wen1 (AUTHOR), Liu, Xiao-Long1 (AUTHOR), Shen, Yi1 (AUTHOR) dryishen@nju.edu.cn
Publikováno v:
Scientific Reports. 9/28/2024, Vol. 14 Issue 1, p1-16. 16p.
Autor:
Okimoto, Leandro Y. S., Mendonca-Neto, Rayol, Nakamura, Fabíola G., Nakamura, Eduardo F., Fenyö, David, Silva, Claudio T.
Publikováno v:
BMC Bioinformatics 25, 92 (2024)
Background: In recent years, researchers have made significant strides in understanding the heterogeneity of breast cancer and its various subtypes. However, the wealth of genomic and proteomic data available today necessitates efficient frameworks,
Externí odkaz:
http://arxiv.org/abs/2403.00716
Autor:
Valerio, Matteo1 (AUTHOR) matteo.valerio@sacrocuore.it, Inno, Alessandro1 (AUTHOR), Zambelli, Alberto2 (AUTHOR) alberto.zambelli@hunimed.eu, Cortesi, Laura3 (AUTHOR), Lorusso, Domenica4 (AUTHOR), Viassolo, Valeria5 (AUTHOR) valeria.viassolo@sacrocuore.it, Verzè, Matteo6 (AUTHOR) matteo.verze@sacrocuore.it, Nicolis, Fabrizio6 (AUTHOR), Gori, Stefania1 (AUTHOR)
Publikováno v:
Cancers. Aug2024, Vol. 16 Issue 16, p2845. 18p.
Akademický článek
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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