Zobrazeno 1 - 10
of 5 430
pro vyhledávání: '"Gene expression data"'
Autor:
U. Ravindran, C. Gunavathi
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-17 (2024)
Abstract Several diverse fields including the healthcare system and drug development sectors have benefited immensely through the adoption of deep learning (DL), which is a subset of artificial intelligence (AI) and machine learning (ML). Cancer make
Externí odkaz:
https://doaj.org/article/2f93776c299b4acb8eba6b0c7bc6b259
Autor:
Tomasz Łukaszuk, Jerzy Krawczuk
Publikováno v:
PeerJ, Vol 12, p e18405 (2024)
Classifiers trained on high-dimensional data, such as genetic datasets, often encounter situations where the number of features exceeds the number of objects. In these cases, classifiers typically rely on a small subset of features. For a robust algo
Externí odkaz:
https://doaj.org/article/a0a1ef5d3671444bbf14c638621d5e67
Publikováno v:
Heliyon, Vol 10, Iss 19, Pp e38547- (2024)
In this paper, a robust weighted score for unbalanced data (ROWSU) is proposed for selecting the most discriminative features for high dimensional gene expression binary classification with class-imbalance problem. The method addresses one of the mos
Externí odkaz:
https://doaj.org/article/5cf730ca8331410894a5fd45fd212e66
Publikováno v:
Alexandria Engineering Journal, Vol 96, Iss , Pp 42-57 (2024)
The applications of clustering in biomedical is pervasive and ubiquitous. A typical example is gene expression data analysis, where clustering is emerging as a powerful solution for uncovering cancer-related insights. Neutrosophic c-means (NCM) clust
Externí odkaz:
https://doaj.org/article/44636dd8a94b4926a637a7be264fcf65
Publikováno v:
BioMedInformatics, Vol 4, Iss 2, Pp 1275-1288 (2024)
Uncontrolled abnormal cell growth, known as cancer, may lead to tumors, immune system deterioration, and other fatal disability. Early cancer identification makes cancer treatment easier and increases the recovery rate, resulting in less mortality. G
Externí odkaz:
https://doaj.org/article/f23baa2942a840d0a48c937364acacdf
Publikováno v:
Zhongguo cuzhong zazhi, Vol 19, Iss 4, Pp 431-439 (2024)
目的 本研究对烟雾病患者血管样本的差异表达基因（differentially expressed genes，DEGs）进行生物信息学鉴定和分析，旨在探讨烟雾病的潜在发病机制。 方法 本研究以烟雾病和颈内动脉瘤患者
Externí odkaz:
https://doaj.org/article/f3f52ba325234d9bbab6717b738e73f8
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-20 (2024)
Abstract Cancer is one of the leading causes of deaths worldwide. Survival analysis and prediction of cancer patients is of great significance for their precision medicine. The robustness and interpretability of the survival prediction models are imp
Externí odkaz:
https://doaj.org/article/4f4eeb87577748cbb6ead632e60e1acf
Autor:
Raquel L. Costa, Luiz Gadelha, Mirela D’arc, Marcelo Ribeiro-Alves, David L. Robertson, Jean-Marc Schwartz, Marcelo A. Soares, Fábio Porto
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-12 (2024)
Abstract In the battle of the host against lentiviral pathogenesis, the immune response is crucial. However, several questions remain unanswered about the interaction with different viruses and their influence on disease progression. The simian immun
Externí odkaz:
https://doaj.org/article/2a3b8bd18b9a44939bd4a961ad2b2ef5
Autor:
U. Ravindran, C. Gunavathi
Publikováno v:
IEEE Access, Vol 12, Pp 81813-81826 (2024)
Cancer accounts for a considerable portion of the illnesses that cause early human death worldwide, and this trend is expected to worsen in the coming years. Therefore, timely and precise identification would be tremendously helpful for cancer patien
Externí odkaz:
https://doaj.org/article/30d267dcfd124b1786f665396417b9f4
Publikováno v:
IEEE Access, Vol 12, Pp 62234-62255 (2024)
Early cancer identification using gene expression data is critical for providing successful patient care. Accurate data recognition is essential to prevent improper detection because it may result in higher complexities and increased mortality rates.
Externí odkaz:
https://doaj.org/article/09693f668fbd496097e22806b6317795