Zobrazeno 1 - 10
of 11 019
pro vyhledávání: '"Eugene, C."'
Autor:
Gartland Jr, Eugene C.
Fr\'eedericksz transitions in nematic liquid crystals are re-examined with a focus on differences between systems with magnetic fields and those with electric fields. A magnetic field can be treated as uniform in a liquid-crystal medium; while a nonu
Externí odkaz:
http://arxiv.org/abs/2409.07654
Lomics: Generation of Pathways and Gene Sets using Large Language Models for Transcriptomic Analysis
Autor:
Wong, Chun-Ka, Choo, Ali, Cheng, Eugene C. C., San, Wing-Chun, Cheng, Kelvin Chak-Kong, Lau, Yee-Man, Lin, Minqing, Li, Fei, Liang, Wei-Hao, Liao, Song-Yan, Ng, Kwong-Man, Hung, Ivan Fan-Ngai, Tse, Hung-Fat, Wong, Jason Wing-Hon
Interrogation of biological pathways is an integral part of omics data analysis. Large language models (LLMs) enable the generation of custom pathways and gene sets tailored to specific scientific questions. These targeted sets are significantly smal
Externí odkaz:
http://arxiv.org/abs/2407.09089
In this paper, we introduce the Fongbe to French Speech Translation Corpus (FFSTC) for the first time. This corpus encompasses approximately 31 hours of collected Fongbe language content, featuring both French transcriptions and corresponding Fongbe
Externí odkaz:
http://arxiv.org/abs/2403.05488
Autor:
Wen-Feng Wu, Kuan-Ming Lai, Chia-Hung Chen, Bai-Chuan Wang, Yi-Jen Chen, Chia-Wei Shen, Kai-Yan Chen, Eugene C. Lin, Chien-Chin Chen
Publikováno v:
Discover Oncology, Vol 15, Iss 1, Pp 1-11 (2024)
Abstract Background Early detection of T790M mutation in exon 20 of epidermal growth factor receptor (EGFR) in non-small cell lung cancer (NSCLC) patients with brain metastasis is crucial for optimizing treatment strategies. In this study, we develop
Externí odkaz:
https://doaj.org/article/576ebdf6034f4c7987f89c6a048d6720
In recent years, the CNN architectures designed by evolution algorithms have proven to be competitive with handcrafted architectures designed by experts. However, these algorithms need a lot of computational power, which is beyond the capabilities of
Externí odkaz:
http://arxiv.org/abs/2305.03416
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-10 (2024)
Abstract Although proteomics is extensively used in immune research, there is currently no publicly accessible spectral assay library for the comprehensive proteome of immune cells. This study generated spectral assay libraries for five human immune
Externí odkaz:
https://doaj.org/article/a6fb3b6cf698402db6c6ef5ba097707f