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Published in 2020 at "Journal of Medical Virology"
DOI: 10.1002/jmv.26217
Abstract: The use of hydroxychloroquine (HCL) has been very common in countries with a rapid spread of coronavirus disease 2019 (COVID-19), although controversial and the subject of heated scientific discussions with implications for the whole society.…
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Keywords:
data use;
use hydroxychloroquine;
disease;
clinical biological ... See more keywords
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Published in 2018 at "Medical Physics"
DOI: 10.1002/mp.12912
Abstract: Recent technological advances have allowed for a more sophisticated understanding of the biology of tumors and an ability to generate massive data at an unprecedented pace. These advances now routinely allow for the assessment of…
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Keywords:
specimens biological;
genomics bio;
bio specimens;
cancer ... See more keywords
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Published in 2019 at "Analytica chimica acta"
DOI: 10.1016/j.aca.2019.04.038
Abstract: In natural product drug discovery, several strategies have emerged to highlight specifically bioactive compound(s) within complex mixtures (fractions or crude extracts) using metabolomics tools. In this area, a great deal of interest has raised among…
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Keywords:
compounds natural;
biological data;
natural extracts;
targeting bioactive ... See more keywords
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Published in 2020 at "Biological Conservation"
DOI: 10.1016/j.biocon.2020.108713
Abstract: Abstract Habitat restoration is one of the actions to reduce landscape fragmentation by promoting connectivity and thus biodiversity. But knowing where to implement these habitats is a major issue and planners lack guidance for answering…
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Keywords:
combining spatial;
habitat;
connectivity;
restoration ... See more keywords
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Published in 2017 at "Computational and Structural Biotechnology Journal"
DOI: 10.1016/j.csbj.2017.07.004
Abstract: The last decade has witnessed an explosion in the amount of available biological sequence data, due to the rapid progress of high-throughput sequencing projects. However, the biological data amount is becoming so great that traditional…
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Keywords:
data analytics;
platforms big;
computing platforms;
big biological ... See more keywords
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Published in 2017 at "Saudi Journal of Biological Sciences"
DOI: 10.1016/j.sjbs.2017.01.027
Abstract: The assessment of the physiological state of an individual requires an objective evaluation of biological data while taking into account both measurement noise and uncertainties arising from individual factors. We suggest to represent multi-dimensional medical…
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Keywords:
fuzzy membership;
fuzzy approach;
approach biological;
analytical fuzzy ... See more keywords
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Published in 2017 at "Acta Oto-Laryngologica"
DOI: 10.1080/00016489.2017.1299940
Abstract: Abstract Objective: The prognosis of terminal head and neck cancer is traditionally determined using indices such as the palliative prognosis index. We aimed to develop an alternative prognosis index using clinico-biological data. Methods: This retrospective…
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Keywords:
prognosis;
clinico biological;
cancer;
biological data ... See more keywords
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Published in 2022 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbac080
Abstract: In recent years, with the rapid development of techniques in bioinformatics and life science, a considerable quantity of biomedical data has been accumulated, based on which researchers have developed various computational approaches to discover potential…
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Keywords:
microbes drugs;
diseases biological;
data computational;
biological data ... See more keywords
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Published in 2017 at "IEEE Transactions on Biomedical Engineering"
DOI: 10.1109/tbme.2016.2542212
Abstract: Objective: In this paper, we focused on developing a clustering approach for biological data. In many biological analyses, such as multiomics data analysis and genome-wide association studies analysis, it is crucial to find groups of…
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Keywords:
maximum likelihood;
likelihood;
likelihood clustering;
biological data ... See more keywords
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Published in 2019 at "IEEE Transactions on Biomedical Engineering"
DOI: 10.1109/tbme.2018.2866266
Abstract: Objective: The emergence of multidimensional genomic data poses new challenges in data analysis. Finding correlated patterns within multiple-sourced biological data is useful in understanding potential interactions between the multimodal genomic data. Methods: Multidimensional genomic data…
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Keywords:
genomic data;
model;
finding correlated;
correlated patterns ... See more keywords
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Published in 2019 at "Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing"
DOI: 10.1142/9789813279827_0035
Abstract: High-throughput technologies for biological data acquisition are advancing at an increasing pace. Most prominently, the decreasing cost of DNA sequencing has led to an exponential growth of sequence information, including individual human genomes. This session…
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Keywords:
symposium biocomputing;
biology gets;
biology;
biological data ... See more keywords