Zobrazeno 1 - 10
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pro vyhledávání: '"A. Muma"'
Modern genomics research relies on genome-wide association studies (GWAS) to identify the few genetic variants among potentially millions that are associated with diseases of interest. Only reproducible discoveries of groups of associations improve o
Externí odkaz:
http://arxiv.org/abs/2410.05211
Genomics biobanks are information treasure troves with thousands of phenotypes (e.g., diseases, traits) and millions of single nucleotide polymorphisms (SNPs). The development of methodologies that provide reproducible discoveries is essential for th
Externí odkaz:
http://arxiv.org/abs/2410.05169
Publikováno v:
2023 IEEE 9th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)
Currently, there is an urgent demand for scalable multivariate and high-dimensional false discovery rate (FDR)-controlling variable selection methods to ensure the repro-ducibility of discoveries. However, among existing methods, only the recently pr
Externí odkaz:
http://arxiv.org/abs/2409.19088
Algorithms that ensure reproducible findings from large-scale, high-dimensional data are pivotal in numerous signal processing applications. In recent years, multivariate false discovery rate (FDR) controlling methods have emerged, providing guarante
Externí odkaz:
http://arxiv.org/abs/2401.15796
In high-dimensional data analysis, such as financial index tracking or biomedical applications, it is crucial to select the few relevant variables while maintaining control over the false discovery rate (FDR). In these applications, strong dependenci
Externí odkaz:
http://arxiv.org/abs/2401.15139
The block diagonal structure of an affinity matrix is a commonly desired property in cluster analysis because it represents clusters of feature vectors by non-zero coefficients that are concentrated in blocks. However, recovering a block diagonal aff
Externí odkaz:
http://arxiv.org/abs/2312.01137
The identification of the dependent components in multiple data sets is a fundamental problem in many practical applications. The challenge in these applications is that often the data sets are high-dimensional with few observations or available samp
Externí odkaz:
http://arxiv.org/abs/2305.19121
Autor:
Schroth, Christian A., Eckrich, Christian, Kakouche, Ibrahim, Fabian, Stefan, von Stryk, Oskar, Zoubir, Abdelhak M., Muma, Michael
The large number and scale of natural and man-made disasters have led to an urgent demand for technologies that enhance the safety and efficiency of search and rescue teams. Semi-autonomous rescue robots are beneficial, especially when searching inac
Externí odkaz:
http://arxiv.org/abs/2305.15795
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract This study explored the potential of telemedicine integration into the eye health ecosystem with an aim of scaling effective refractive error coverage in Kenya. This exploratory study was conducted telephonically and through online interview
Externí odkaz:
https://doaj.org/article/2e6f767ded6a4c749330f83bd9e97178
Autor:
Chisoni Mumba, Bertha Kasanga, Chisanga T. Mwamba, Timothy Sichilima, Enock Siankwilimba, Doreen C. Sitali, Joshua Munkombwe, Reuben Banda, John Bwalya Muma
Publikováno v:
Frontiers in Veterinary Science, Vol 11 (2024)
IntroductionsThe low participation of small-scale farmers in livestock markets in sub-Saharan Africa, including Zambia, is a major inhibitor to private sector investment in the livestock subsector. Despite the immense potential of the livestock indus
Externí odkaz:
https://doaj.org/article/56cd50c7cfee415f977537af832d16ad