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期刊名:Annual review of biomedical data science

缩写:ANNU REV BIOMED DA S

ISSN:2574-3414

e-ISSN:2574-3414

IF/分区:6.0/Q1

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共收录本刊相关文章索引119
Clinical Trial Case Reports Meta-Analysis RCT Review Systematic Review
Classical Article Case Reports Clinical Study Clinical Trial Clinical Trial Protocol Comment Comparative Study Editorial Guideline Letter Meta-Analysis Multicenter Study Observational Study Randomized Controlled Trial Review Systematic Review
Tracey Holloway,Daegan Miller,Susan Anenberg et al. Tracey Holloway et al.
Data from satellite instruments provide estimates of gas and particle levels relevant to human health, even pollutants invisible to the human eye. However, the successful interpretation of satellite data requires an understanding of how sat...
Nicola Mulder,Lyndon Zass,Yosr Hamdi et al. Nicola Mulder et al.
African populations are diverse in their ethnicity, language, culture, and genetics. Although plagued by high disease burdens, until recently the continent has largely been excluded from biomedical studies. Along with limitations in researc...
Andrea Castro,Maurizio Zanetti,Hannah Carter Andrea Castro
Next-generation sequencing technologies have revolutionized our ability to catalog the landscape of somatic mutations in tumor genomes. These mutations can sometimes create so-called neoantigens, which allow the immune system to detect and ...
Lisa Bastarache Lisa Bastarache
Electronic health records (EHRs) are a rich source of data for researchers, but extracting meaningful information out of this highly complex data source is challenging. Phecodes represent one strategy for defining phenotypes for research us...
Irene Y Chen,Shalmali Joshi,Marzyeh Ghassemi et al. Irene Y Chen et al.
Machine learning can be used to make sense of healthcare data. Probabilistic machine learning models help provide a complete picture of observed data in healthcare. In this review, we examine how probabilistic machine learning can advance h...
Yoo-Ah Kim,Mark D M Leiserson,Priya Moorjani et al. Yoo-Ah Kim et al.
Mutations are the driving force of evolution, yet they underlie many diseases, in particular, cancer. They are thought to arise from a combination of stochastic errors in DNA processing, naturally occurring DNA damage (e.g., the spontaneous...
Bethany Percha Bethany Percha
Electronic health records (EHRs) are becoming a vital source of data for healthcare quality improvement, research, and operations. However, much of the most valuable information contained in EHRs remains buried in unstructured text. The fie...
Jingqi Chen,Guiying Dong,Liting Song et al. Jingqi Chen et al.
The accumulation of vast amounts of multimodal data for the human brain, in both normal and disease conditions, has provided unprecedented opportunities for understanding why and how brain disorders arise. Compared with traditional analyses...
Yancong Zhang,Kelsey N Thompson,Tobyn Branck et al. Yancong Zhang et al.
Shotgun metatranscriptomics (MTX) is an increasingly practical way to survey microbial community gene function and regulation at scale. This review begins by summarizing the motivations for community transcriptomics and the history of the f...
Siobhan Cleary,Cathal Seoighe Siobhan Cleary
Diploidy has profound implications for population genetics and susceptibility to genetic diseases. Although two copies are present for most genes in the human genome, they are not necessarily both active or active at the same level in a giv...