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作者：Price, Dionne L.
作者单位：US Food & Drug Administration (FDA)
摘要：Driven by our mission, we have advanced science for the public good. Our history is rich in theory, methodology, and applications that are instrumental in solving real-world problems. Our reach is boundless, and our impact is undeniable in diverse areas, including engineering, economics, the environment, genetics, public health, and health policy. As the data landscape continues to evolve, our leadership, expertise and knowledge will be essential to meet the global challenges of the future. We...
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作者：Zhao, Zhigen
作者单位：Pennsylvania Commonwealth System of Higher Education (PCSHE); Temple University
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作者：Sarkar, Sanat K.
作者单位：Pennsylvania Commonwealth System of Higher Education (PCSHE); Temple University
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作者：Diana, Alex; Matechou, Eleni; Griffin, Jim; Yu, Douglas W.; Luo, Mingjie; Tosa, Marie; Bush, Alex; Griffiths, Richard A.
作者单位：University of Essex; University of Kent; University of London; University College London; University of East Anglia; Chinese Academy of Sciences; Kunming Institute of Zoology, CAS; Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS; Oregon State University; Lancaster University; University of Kent
摘要：DNA-based biodiversity surveys, which involve collecting physical samples from survey sites and assaying them in the laboratory to detect species via their diagnostic DNA sequences, are increasingly being adopted for biodiversity monitoring and decision-making. The most commonly employed method, metabarcoding, combines PCR with high-throughput DNA sequencing to amplify and read DNA barcode sequences, generating count data indicating the number of times each DNA barcode was read. However, DNA-b...
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作者：Karmakar, Bikram; Mukherjee, Gourab; Kar, Wreetabrata
作者单位：State University System of Florida; University of Florida; University of Southern California; State University of New York (SUNY) System; University at Buffalo, SUNY
摘要：Amid increasing awareness regarding opioid addiction, medical marijuana has emerged as a substitute to opioids for pain management. Concurrently, opioid manufacturers are putting significant research into making opioids safer yet effective. Interactions between these manufacturers and physicians are critical to advance existing pain management protocols. Direct payments from opioid manufacturers to physicians are established practices that often moderates such interactions. We study the effect...
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作者：Rebaudo, Giovanni; Muller, Peter
作者单位：University of Turin; University of Texas System; University of Texas Austin
摘要：Bayesian nonparametric mixtures and random partition models are powerful tools for probabilistic clustering. However, standard independent mixture models can be restrictive in some applications such as inference on cell lineage due to the biological relations of the clusters. The increasing availability of large genomic data requires new statistical tools to perform model-based clustering and infer the relationship between homogeneous subgroups of units. Motivated by single-cell RNA data we de...
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作者：Lei, Lihua
作者单位：Stanford University; Stanford University
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作者：Ward, Kes; Dilillo, Giuseppe; Eckley, Idris; Fearnhead, Paul
作者单位：Lancaster University; Istituto Nazionale Astrofisica (INAF); Lancaster University
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作者：Ma, Ping; Chen, Yongkai; Lu, Haoran; Zhong, Wenxuan
作者单位：University System of Georgia; University of Georgia
摘要：With the rapid development of quantum computers, researchers have shown quantum advantages in physics-oriented problems. Quantum algorithms tackling computational biology problems are still lacking. In this article, we demonstrate the quantum advantage in analyzing CITE-seq data. CITE-seq, a single-cell technology, enables researchers to simultaneously measure expressions of RNA and surface protein detected by antibody-derived tags (ADTs) in the same cells. CITE-seq data hold tremendous potent...
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作者：Ma, Shujie; Niu, Po-Yao; Zhang, Yichong; Zhu, Yinchu
作者单位：University of California System; University of California Riverside; Singapore Management University; Brandeis University
摘要：This article investigates statistical inference for noisy matrix completion in a semi-supervised model when auxiliary covariates are available. The model consists of two parts. One part is a low-rank matrix induced by unobserved latent factors; the other part models the effects of the observed covariates through a coefficient matrix which is composed of high-dimensional column vectors. We model the observational pattern of the responses through a logistic regression of the covariates, and allo...
