Zobrazeno 1 - 10
of 235
pro vyhledávání: '"Ye, Xiucai"'
Autor:
Wang, Li, Fu, Xiangzheng, Yang, Jiahao, Zhang, Xinyi, Ye, Xiucai, Liu, Yiping, Sakurai, Tetsuya, Zeng, Xiangxiang
Deep learning holds a big promise for optimizing existing peptides with more desirable properties, a critical step towards accelerating new drug discovery. Despite the recent emergence of several optimized Antimicrobial peptides(AMP) generation metho
Externí odkaz:
http://arxiv.org/abs/2406.02610
Autor:
Wang, Li, Li, Yiping, Fu, Xiangzheng, Ye, Xiucai, Shi, Junfeng, Yen, Gary G., Zeng, Xiangxiang
Antimicrobial peptides (AMPs) have exhibited unprecedented potential as biomaterials in combating multidrug-resistant bacteria. Despite the increasing adoption of artificial intelligence for novel AMP design, challenges pertaining to conflicting attr
Externí odkaz:
http://arxiv.org/abs/2405.00753
In this paper, to unveil interpretable development-specific gene signatures in human PFC, we propose a novel gene selection method, named Interpretable Causality Gene Selection (ICGS), which adopts a Bayesian Network (BN) to represent causality betwe
Externí odkaz:
http://arxiv.org/abs/2211.08096
Long non-coding RNAs (lncRNAs) are important regulators to modulate gene expression and cell proliferation in the developing human brain. Previous methods mainly use bulk lncRNA and mRNA expression data to study lncRNA regulation. However, to analyze
Externí odkaz:
http://arxiv.org/abs/2211.08084
Publikováno v:
In Future Generation Computer Systems October 2024 159:557-566
The eigenvalue density of a matrix plays an important role in various types of scientific computing such as electronic-structure calculations. In this paper, we propose a quantum algorithm for computing the eigenvalue density in a given interval. Our
Externí odkaz:
http://arxiv.org/abs/2112.05395
Publikováno v:
In Methods November 2024 231:144-153
Ensemble clustering is a fundamental problem in the machine learning field, combining multiple base clusterings into a better clustering result. However, most of the existing methods are unsuitable for large-scale ensemble clustering tasks due to the
Externí odkaz:
http://arxiv.org/abs/2106.09852
Publikováno v:
In International Journal of Biological Macromolecules April 2024 265 Part 1
Publikováno v:
In Computers in Biology and Medicine March 2024 171