Results 171 to 180 of about 25,747,115 (388)

Tumor and germline testing with next generation sequencing in epithelial ovarian cancer: a prospective paired comparison using an 18‐gene panel

Molecular Oncology, EarlyView.
Genetic testing in epithelial ovarian cancer includes both germline and tumor‐testing. This approach often duplicates resources. The current prospective study assessed the feasibility of tumor‐first multigene testing by comparing tumor tissue with germline testing of peripheral blood using an 18‐gene NGS panel in 106 patients.
Elisabeth Spenard, Cristina Mitric, Melanie Care, Tracy L. Stockley, Raymond H. Kim, Jeanna McCuaig, Blaise Clarke, Laura Ranich, Clare Sheen, Sarah E. Ferguson, Liat Hogen, Taymaa May, Marcus Q. Bernardini   +12 more
wiley   +1 more source

NanoBERTa-ASP: predicting nanobody paratope based on a pretrained RoBERTa model

BMC Bioinformatics
Background Nanobodies, also known as VHH or single-domain antibodies, are unique antibody fragments derived solely from heavy chains. They offer advantages of small molecules and conventional antibodies, making them promising therapeutics.
Shangru Li, Xiangpeng Meng, Rui Li, Bingding Huang, Xin Wang   +4 more
doaj   +1 more source

Web technologies for environmental Big Data

, 2014
Claudia Vitolo, Yehia Elkhatib, Dominik E. Reusser, C. J. A. Macleod, Wouter Buytaert   +4 more
openalex   +1 more source

Scraping the Web for Public Health Gains: Ethical Considerations from a ‘Big Data’ Research Project on HIV and Incarceration

, 2020
Stuart Rennie, Mara Buchbinder, Eric T. Juengst, Lauren Brinkley‐Rubinstein, Colleen Blue, David L. Rosen   +5 more
openalex   +2 more sources

Big data for media

, 2014
News and media companies are rapidly developing “Big Data” strategies to effectively use the growing amount of user data available from Internet and mobile communications. Most are overwhelmed by the amount of data and struggling to create strategies and techniques to improve data analysis and its application for editorial and business uses.
openaire   +2 more sources

Plasma extrachromosomal circular DNA as a biomarker in EGFR‐targeted therapy of non‐small cell lung cancer

Molecular Oncology, EarlyView.
Detection of extrachromosomal circular DNA (eccDNA) in plasma samples from EGFR‐mutated non‐small cell lung cancer patients. Plasma was collected before and during treatment with the EGFR‐tyrosine kinase inhibitor osimertinib. Plasma eccDNA was detected in all cancer samples, and the presence of the EGFR gene on eccDNA serves as a potential biomarker ...
Simone Stensgaard, Sarmad Mehmood, Eva Boysen Fynboe Ebert, Peter Meldgaard, Anindya Dutta, Boe S. Sorensen   +5 more
wiley   +1 more source

A big data driven analytical framework for energy-intensive manufacturing industries

, 2018
Yingfeng Zhang, Shuaiyin Ma, Haidong Yang, Jingxiang Lv, Yang Liu   +4 more
openalex   +2 more sources

Survivin and Aurora Kinase A control cell fate decisions during mitosis

Molecular Oncology, EarlyView.
Aurora A interacts with survivin during mitosis and regulates its centromeric role. Loss of Aurora A activity mislocalises survivin, the CPC and BubR1, leading to disruption of the spindle checkpoint and triggering premature mitotic exit, which we refer to as ‘mitotic slippage’.
Hana Abdelkabir, Shalitha Wickrama Arachchige, Sally P. Wheatley   +2 more
wiley   +1 more source

Incomplete multi-view partial multi-label classification via deep semantic structure preservation

Complex & Intelligent Systems
Recent advances in multi-view multi-label learning are often hampered by the prevalent challenges of incomplete views and missing labels, common in real-world data due to uncertainties in data collection and manual annotation.
Chaoran Li, Xiyin Wu, Pai Peng, Zhuhong Zhang, Xiaohuan Lu   +4 more
doaj   +1 more source

AANet: Adaptive Attention Networks for Semantic Segmentation of High-Resolution Remote Sensing Imagery

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Contextual information can effectively aid deep-learning models in extracting interclass and intraclass difference features in remote sensing images.
Yan Chen, Qianchuan Zhang, Xiaofeng Wang, Quan Dong, Menglei Kang, Wenxiang Jiang, Mengyuan Wang, Lixiang Xu, Chen Zhang   +8 more
doaj   +1 more source