Results 101 to 110 of about 50,945 (202)

Unsupervised Bayesian linear unmixing of gene expression microarrays [PDF]

, 2013
Background: This paper introduces a new constrained model and the corresponding algorithm, called unsupervised Bayesian linear unmixing (uBLU), to identify biological signatures from high dimensional assays like gene expression microarrays. The basis for
A Hyvärinen, Aimee K Zaas, AK Zaas, Alfred O Hero III, B Chen, CM Carvalho, CP Robert, Cécile Bazot, D Dueck, DD Lee, EJ Fertig, Geoffrey S Ginsburg, GJ McLachlan, J Baek, J Paisley, Jean-Yves Tourneret, JM Nascimento, KY Yeung, M West, ME Winter, N Dobigeon, N Dobigeon, Nicolas Dobigeon, P Fogel, PJ Green, RO Duda, TD Moloshok, TF Cox, V Nikulin, WR Gilks, Y Huang   +30 more
core   +4 more sources

Aptamer‐Based Approaches for Influenza Virus Detection: A Systematic Review

Health Science Reports, Volume 9, Issue 3, March 2026.
ABSTRACT Background and Aims Influenza remains a globally prevalent respiratory infection that is challenging to diagnose accurately. This systematic review focuses on aptamer‐based tools for influenza virus detection, aiming to overcome the limitations of traditional diagnostic methods.
Javad Charostad, Zohreh‐al‐sadat Ghoreshi, Nasir Arefinia, Faranak Salajegheh, Niloofar Farsiu, Mohammad Rezaei Zadeh Rukerd, Mohsen Nakhaie   +6 more
wiley   +1 more source

Predicting Antigenic Variants of Influenza A/H3N2 Viruses

Emerging Infectious Diseases, 2004
Current inactivated influenza vaccines provide protection when vaccine antigens and circulating viruses share a high degree of similarity in hemagglutinin protein. Five antigenic sites in the hemagglutinin protein have been proposed, and 131 amino acid positions have been identified in the five antigenic sites.
Min-Shi Lee, Jack Si-En Chen
openaire   +3 more sources

A systematic review of reported reassortant viral lineages of influenza A [PDF]

, 2015
BACKGROUND: Most previous evolutionary studies of influenza A have focussed on genetic drift, or reassortment of specific gene segments, hosts or subtypes.
Ferguson, NM, Fraser, C, Pinsent, A, Riley, S   +3 more
core   +2 more sources

Differential Induction and Signaling of Type I and III Interferons During Infection of Human Nasal Epithelial Cells With the Four Human Parainfluenza Virus Types

Journal of Medical Virology, Volume 98, Issue 3, March 2026.
ABSTRACT Human parainfluenza viruses (HPIVs) commonly cause croup and lower respiratory tract infections in young children. Despite typically self‐limiting with mild symptoms, the innate immune responses to HPIVs remain poorly understood, especially across all four types in human nasal epithelial cells (hNECs), the primary infection site.
Hsiao Hui Ong, Jing Liu, Mark Thong, Vincent T. K. Chow, Yvonne C. F. Su, Gavin J. D. Smith, De‐Yun Wang   +6 more
wiley   +1 more source

How virus migration and meteorological elements shape the seasonality of influenza a/H3N2: A case study in China

One Health
Recent global influenza resurgences, escalating to pandemics, emphasize the urgency for effective vaccinations. Despite their efficacy, vaccines offer limited protection against A/H3N2 variants.
Yilan Liao, Tong Zhao, Wei Du, Dayan Wang, Zhibin Peng, Shan Xue, Jianxing Yu, An Zhang, Hongyan Ren, Zhoupeng Ren, Geoge Fu Gao, Jinfeng Wang, Nils Christian Stenseth   +12 more
doaj   +1 more source

Influenza and the implications of a pandemic for Malta [PDF]

, 2005
An influenza pandemic is inevitable and recent reports from Southeast Asia on avian influenza viruses infecting humans have served to fuel worries that a new pandemic is near.
Farrugia, Ryan, Melillo Fenech, Tanya, Spiteri, Gianfranco   +2 more
core  

Bacteriophage Therapy: Current Strategies and Future Perspectives

MedComm, Volume 7, Issue 3, March 2026.
This manuscript systematically reviews the expanding scope of phage applications. It moves beyond traditional antibacterial use to explore their role in precision therapies against drug‐resistant infections, their synergy with antibiotics, and advanced biomaterial‐assisted delivery systems.
Zihe Zhou, Hanyu Fu, Mengzhe Li, Zhongyu Han, Zhenchao Wu, Huahao Fan, Ning Shen, Jiajia Zheng   +7 more
wiley   +1 more source

Natural co-infection of influenza A/H3N2 and A/H1N1pdm09 viruses resulting in a reassortant A/H3N2 virus

Journal of Clinical Virology, 2015
Despite annual co-circulation of different subtypes of seasonal influenza, co-infections between different viruses are rarely detected. These co-infections can result in the emergence of reassortant progeny.We document the detection of an influenza co-infection, between influenza A/H3N2 with A/H1N1pdm09 viruses, which occurred in a 3 year old male in ...
Rith, Sareth, Chin, Savuth, Sar, Borann, Y, Phalla, Horm, Srey Viseth, Ly, Sovann, Buchy, Philippe, Dussart, Philippe, Horwood, Paul F.   +8 more
openaire   +3 more sources

Large language models for bioinformatics

Quantitative Biology, Volume 14, Issue 1, March 2026.
Abstract With the rapid advancements in large language model technology and the emergence of bioinformatics‐specific language models (BioLMs), there is a growing need for a comprehensive analysis of the current landscape, computational characteristics, and diverse applications.
Wei Ruan, Yanjun Lyu, Jing Zhang, Jiazhang Cai, Peng Shu, Yang Ge, Yao Lu, Shang Gao, Yue Wang, Peilong Wang, Lin Zhao, Tao Wang, Yufang Liu, Luyang Fang, Ziyu Liu, Zhengliang Liu, Yiwei Li, Zihao Wu, Junhao Chen, Hanqi Jiang, Yi Pan, Zhenyuan Yang, Jingyuan Chen, Shizhe Liang, Wei Zhang, Terry Ma, Yuan Dou, Jianli Zhang, Xinyu Gong, Qi Gan, Yusong Zou, Zebang Chen, Yuanxin Qian, Shuo Yu, Jin Lu, Kenan Song, Xianqiao Wang, Andrea Sikora, Gang Li, Xiang Li, Quanzheng Li, Yingfeng Wang, Lu Zhang, Yohannes Abate, Lifang He, Wenxuan Zhong, Rongjie Liu, Chao Huang, Wei Liu, Ye Shen, Ping Ma, Hongtu Zhu, Yajun Yan, Dajiang Zhu, Tianming Liu   +54 more
wiley   +1 more source