Zobrazeno 1 - 10
of 243
pro vyhledávání: '"Tianwei Yu"'
Publikováno v:
Big Data Mining and Analytics, Vol 7, Iss 3, Pp 809-827 (2024)
Single-cell RNA sequencing (scRNA-seq) technology measures the expression of thousands of genes at the cellular level. Analyzing single-cell transcriptome allows the identification of heterogeneous cell groups, cellular-level regulations, and the tra
Externí odkaz:
https://doaj.org/article/ec860bb65c1541548b9e2b667e537c06
Autor:
Venkata S. Bollimpelli, Pradeep B. J Reddy, Sailaja Gangadhara, Tysheena P. Charles, Samantha L. Burton, Gregory K. Tharp, Tiffany M. Styles, Celia C. Labranche, Justin C. Smith, Amit A. Upadhyay, Anusmita Sahoo, Traci Legere, Ayalnesh Shiferaw, Vijayakumar Velu, Tianwei Yu, Mark Tomai, John Vasilakos, Sudhir P. Kasturi, George M. Shaw, David Montefiori, Steven E. Bosinger, Pamela A. Kozlowski, Bali Pulendran, Cynthia A. Derdeyn, Eric Hunter, Rama R. Amara
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-16 (2023)
Abstract Route of immunization can markedly influence the quality of immune response. Here, we show that intradermal (ID) but not intramuscular (IM) modified vaccinia Ankara (MVA) vaccinations provide protection from acquisition of intravaginal tier2
Externí odkaz:
https://doaj.org/article/101d7faa095245b791894f88734b70d5
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
Biological evidence indicewates that the brain atrophy can be involved at the onset of neuropathological pathways of Alzheimer's disease. However, there is lack of formal statistical methods to perform genetic dissection of brain activation phenotype
Externí odkaz:
https://doaj.org/article/ddaaff7478fc4c87808b1dad01296488
Publikováno v:
Biomolecules, Vol 13, Iss 7, p 1153 (2023)
Random Forest (RF) is a widely used machine learning method with good performance on classification and regression tasks. It works well under low sample size situations, which benefits applications in the field of biology. For example, gene expressio
Externí odkaz:
https://doaj.org/article/e2bf46a5f20e4e97b631b4685556db55
Autor:
Nadine G. Rouphael, Lilin Lai, Sonia Tandon, Michele Paine McCullough, Yunchuan Kong, Sarah Kabbani, Muktha S. Natrajan, Yongxian Xu, Yerun Zhu, Dongli Wang, Jesse O’Shea, Amy Sherman, Tianwei Yu, Sebastien Henry, Devin McAllister, Daniel Stadlbauer, Surender Khurana, Hana Golding, Florian Krammer, Mark J. Mulligan, Mark R. Prausnitz
Publikováno v:
npj Vaccines, Vol 6, Iss 1, Pp 1-9 (2021)
Abstract In a phase 1 randomized, single-center clinical trial, inactivated influenza virus vaccine delivered through dissolvable microneedle patches (MNPs) was found to be safe and immunogenic. Here, we compare the humoral and cellular immunologic r
Externí odkaz:
https://doaj.org/article/5b49040c2002496f8128ac3623836663
Autor:
Samantha McInally, Kristin Wall, Tianwei Yu, Rabindra Tirouvanziam, William Kilembe, Jill Gilmour, Susan A. Allen, Eric Hunter
Publikováno v:
Retrovirology, Vol 18, Iss 1, Pp 1-11 (2021)
Abstract Background To determine if individuals, from HIV-1 serodiscordant couple cohorts from Rwanda and Zambia, who become HIV-positive have a distinct inflammatory biomarker profile compared to individuals who remain HIV-negative, we compared leve
Externí odkaz:
https://doaj.org/article/56acb69a00cb46d8b38e2f3dfc85d63a
Publikováno v:
Electronics Letters, Vol 57, Iss 22, Pp 848-850 (2021)
Abstract Few‐shot action recognition aims to recognise unseen actions given a few examples. Thus, this letter proposes a model named meta relation network (Meta RN) to address such problem. This model contains two parts: a MetaNet and a relation ne
Externí odkaz:
https://doaj.org/article/4b5e59f16e044f24a5813282cb2ccea3
Autor:
Qin Liu, Douglas Walker, Karan Uppal, Zihe Liu, Chunyu Ma, ViLinh Tran, Shuzhao Li, Dean P. Jones, Tianwei Yu
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-13 (2020)
Abstract With the growth of metabolomics research, more and more studies are conducted on large numbers of samples. Due to technical limitations of the Liquid Chromatography–Mass Spectrometry (LC/MS) platform, samples often need to be processed in
Externí odkaz:
https://doaj.org/article/b7e4a35c4a4445a4849e3d300e5b7365
Autor:
Tianwei Yu
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 1, p e1009826 (2022)
In the integrative analyses of omics data, it is often of interest to extract data representation from one data type that best reflect its relations with another data type. This task is traditionally fulfilled by linear methods such as canonical corr
Externí odkaz:
https://doaj.org/article/7611d02c916941138bf64c2a66a189dc
Autor:
Jianwei Lu, Yao Lu, Yusheng Ding, Qingyang Xiao, Linqing Liu, Qingpo Cai, Yunchuan Kong, Yun Bai, Tianwei Yu
Publikováno v:
BMC Bioinformatics, Vol 20, Iss S15, Pp 1-10 (2019)
Abstract Background The biological network is highly dynamic. Functional relations between genes can be activated or deactivated depending on the biological conditions. On the genome-scale network, subnetworks that gain or lose local expression consi
Externí odkaz:
https://doaj.org/article/bce3e6b0fc444f96a8fbe22b146d4199