Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Dawn Wilkins"'
Autor:
Steven F Jennings, Andrey A Ptitsyn, Dawn Wilkins, Russel E Bruhn, William Slikker, Jonathan D Wren
Publikováno v:
PLoS Biology, Vol 2, Iss 12, p e372 (2004)
Externí odkaz:
https://doaj.org/article/28c0b34e071c433a8454e87bd5fc2e32
Publikováno v:
Molecular Omics. 18:408-416
A predominant source of complication in SARS-CoV-2 patients arises from a severe systemic inflammation that can lead to tissue damage and organ failure. The high inflammatory burden of this viral infection often results in cardiovascular comorbiditie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbe4042ae5770ac84a27ffe4386f452f
https://doi.org/10.1039/d2mo00055e
https://doi.org/10.1039/d2mo00055e
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 43:1947-1963
Identifying statistical dependence between the features and the label is a fundamental problem in supervised learning. This paper presents a framework for estimating dependence between numerical features and a categorical label using generalized Gini
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3acceb7eae51815f991c8ae0fd498b2d
https://doi.org/10.1109/tpami.2019.2960358
https://doi.org/10.1109/tpami.2019.2960358
A predominant source of complication in SARS-CoV-2 patients arises from thecytokine storm, an elevated expression of inflammatory helper T-cell associated cytokines that can lead to tissue damage and organ failure. The high inflammatory burden of thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97ba979dd95f042ae21f3461556a69a9
https://doi.org/10.1101/2021.11.29.470414
https://doi.org/10.1101/2021.11.29.470414
Publikováno v:
ACM Southeast Regional Conference
Recently convolutional neural networks (CNN) have shown exceptional performance with data where a feature structure is explicitly defined, for example image data. Real world data is often represented as d dimensional vectors and they lack such featur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5fec71a8c8cab7c1f676c4a43feff1ee
https://doi.org/10.1145/3299815.3314429
https://doi.org/10.1145/3299815.3314429
Publikováno v:
ICNC
Wireless Sensor Networks (WSNs) have arisen as one of the hottest and most promising research areas nowadays, where one most critical research challenge is to extend the network lifetime, as in most cases sensor nodes can hardly be replaced with new
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb27a785166f92078342339176d63486
https://doi.org/10.1109/iccnc.2019.8685531
https://doi.org/10.1109/iccnc.2019.8685531
Publikováno v:
BCB
The state of the art in bio-medical technologies has produced many genomic, epigenetic, transcriptomic, and proteomic data of varied types across different biological conditions. Historically, it has always been a challenge to produce new ways to int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a66ccf3b8ce10b745e9d310e0a8b2de
https://doi.org/10.1145/3233547.3233557
https://doi.org/10.1145/3233547.3233557
Publikováno v:
IJCNN
Time plays an essential role in the diffusion of information, influence and disease over networks. Usually we are only able to collect cascade data in which an infection (receiving) time of each node is recorded but without any transmission informati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ac69a44f74d05e6007f2f981d6bda79
https://doi.org/10.1109/ijcnn.2018.8489509
https://doi.org/10.1109/ijcnn.2018.8489509
Autor:
Timothy Holston, Dawn Wilkins
Publikováno v:
ACM Southeast Regional Conference
This paper defines a model for a relative grading system that scales from low enrollment to large enrollment courses. The model allows peer grader to rank a small subset of submissions that are later merged into a global ranked set of all submissions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1124ecff32977407e79288f059e9d585
https://doi.org/10.1145/3190645.3190684
https://doi.org/10.1145/3190645.3190684
Autor:
Yunyun Zhou, Dawn Wilkins, Junqing Wang, Yixin Chen, Silu Zhang, Torumoy Ghoshal, Yin-yuan Mo
Publikováno v:
Genes
Genes; Volume 9; Issue 2; Pages: 65
Genes, Vol 9, Iss 2, p 65 (2018)
Genes; Volume 9; Issue 2; Pages: 65
Genes, Vol 9, Iss 2, p 65 (2018)
Background: Breast cancer is intrinsically heterogeneous and is commonly classified into four main subtypes associated with distinct biological features and clinical outcomes. However, currently available data resources and methods are limited in ide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ecee8bd9284d5725eebc58269907499
https://pubmed.ncbi.nlm.nih.gov/29373522
https://pubmed.ncbi.nlm.nih.gov/29373522