Zobrazeno 1 - 10
of 1 474
pro vyhledávání: '"Song, Le"'
We explore optimally training protein language models, an area of significant interest in biological research where guidance on best practices is limited. Most models are trained with extensive compute resources until performance gains plateau, focus
Externí odkaz:
http://arxiv.org/abs/2411.02142
Multiple Sequence Alignment (MSA) plays a pivotal role in unveiling the evolutionary trajectories of protein families. The accuracy of protein structure predictions is often compromised for protein sequences that lack sufficient homologous informatio
Externí odkaz:
http://arxiv.org/abs/2406.05347
Bioinformatics has witnessed a paradigm shift with the increasing integration of artificial intelligence (AI), particularly through the adoption of foundation models (FMs). These AI techniques have rapidly advanced, addressing historical challenges i
Externí odkaz:
http://arxiv.org/abs/2402.04286
Autor:
Chen, Bo, Cheng, Xingyi, Li, Pan, Geng, Yangli-ao, Gong, Jing, Li, Shen, Bei, Zhilei, Tan, Xu, Wang, Boyan, Zeng, Xin, Liu, Chiming, Zeng, Aohan, Dong, Yuxiao, Tang, Jie, Song, Le
Protein language models have shown remarkable success in learning biological information from protein sequences. However, most existing models are limited by either autoencoding or autoregressive pre-training objectives, which makes them struggle to
Externí odkaz:
http://arxiv.org/abs/2401.06199
Predicting the structure of interacting chains is crucial for understanding biological systems and developing new drugs. Large-scale pre-trained Protein Language Models (PLMs), such as ESM2, have shown impressive abilities in extracting biologically
Externí odkaz:
http://arxiv.org/abs/2312.01186
Autor:
Gong, Jing, Hao, Minsheng, Cheng, Xingyi, Zeng, Xin, Liu, Chiming, Ma, Jianzhu, Zhang, Xuegong, Wang, Taifeng, Song, Le
Advances in high-throughput sequencing technology have led to significant progress in measuring gene expressions at the single-cell level. The amount of publicly available single-cell RNA-seq (scRNA-seq) data is already surpassing 50M records for hum
Externí odkaz:
http://arxiv.org/abs/2311.15156
Publikováno v:
Innovative Marketing, Vol 20, Iss 3, Pp 249-260 (2024)
Sport events of various scales are becoming increasingly popular in modern society, attracting diverse audiences and offering significant entertainment value. This study aims to explore the factors that influence spectators’ intention to attend the
Externí odkaz:
https://doaj.org/article/d68974d79303405ebc026abe48d62e74
Autor:
Duy Tuyen Dao, Huu Y Le, Minh Hai Nguyen, Thi Duyen Thi, Xuan Dung Nguyen, Thanh Thuyet Bui, Thi Huyen Trang Tran, Van Luan Pham, Hang Nga Do, Jim-Tong Horng, Huu Song Le, Dinh Tien Nguyen
Publikováno v:
BMC Infectious Diseases, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Background Respiratory infections have long been recognized as a primary cause of acute exacerbation of chronic obstructive pulmonary disease (AE-COPD). Additionally, the emergence of antimicrobial resistance has led to an urgent and critica
Externí odkaz:
https://doaj.org/article/84c243cc195543f1babf9ca2bbebc605
Autor:
Quang Huy Nguyen, Cam Linh Nguyen, Thai Son Nguyen, Bich Ngoc Do, Thi Thanh Tam Tran, Thi Thu Hang Le, Thanh Thuyet Bui, Huu Song Le, Dong Van Quyen, Juliette Hayer, Anne-Laure Bañuls, Tien Sy Bui
Publikováno v:
Journal of Global Antimicrobial Resistance, Vol 37, Iss , Pp 44-47 (2024)
ABSTRACT: Objectives: Burkholderia dolosa is a clinically important opportunistic pathogen in inpatients. Here we characterised an extensively drug-resistant and hypervirulent B. dolosa isolate from a patient hospitalised for stroke. Methods: Resista
Externí odkaz:
https://doaj.org/article/d237d1ea867b45cfa73d2fe245a6961e
Drug combination therapy is a well-established strategy for disease treatment with better effectiveness and less safety degradation. However, identifying novel drug combinations through wet-lab experiments is resource intensive due to the vast combin
Externí odkaz:
http://arxiv.org/abs/2301.05931