Institution
University of Dundee
Education•Dundee, United Kingdom•
About: University of Dundee is a education organization based out in Dundee, United Kingdom. It is known for research contribution in the topics: Population & Protein kinase A. The organization has 19258 authors who have published 39640 publications receiving 1919433 citations. The organization is also known as: Universitas Dundensis & Dundee University.
Topics: Population, Protein kinase A, Phosphorylation, Kinase, Health care
Papers published on a yearly basis
Papers
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University of Exeter1, Wellcome Trust Centre for Human Genetics2, University of Oxford3, Queen Mary University of London4, University of Bristol5, University of Leicester6, University of Leeds7, British Heart Foundation8, Swiss Institute of Bioinformatics9, University Hospital of Lausanne10, University of Lausanne11, GlaxoSmithKline12, National Health Service13, University of Cambridge14, University of Dundee15, Imperial College London16, Wellcome Trust Sanger Institute17
TL;DR: The loci the authors identified implicate genes in Hedgehog signaling, extracellular matrix, and cancer pathways, and provide new insights into human growth and developmental processes and insights into the genetic architecture of a classic quantitative trait.
Abstract: Adult height is a model polygenic trait, but there has been limited success in identifying the genes underlying its normal variation. To identify genetic variants influencing adult human height, we used genome-wide association data from 13,665 individuals and genotyped 39 variants in an additional 16,482 samples. We identified 20 variants associated with adult height (P < 5 x 10(-7), with 10 reaching P < 1 x 10(-10)). Combined, the 20 SNPs explain approximately 3% of height variation, with a approximately 5 cm difference between the 6.2% of people with 17 or fewer 'tall' alleles compared to the 5.5% with 27 or more 'tall' alleles. The loci we identified implicate genes in Hedgehog signaling (IHH, HHIP, PTCH1), extracellular matrix (EFEMP1, ADAMTSL3, ACAN) and cancer (CDK6, HMGA2, DLEU7) pathways, and provide new insights into human growth and developmental processes. Finally, our results provide insights into the genetic architecture of a classic quantitative trait.
828 citations
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TL;DR: The role model framework is of use in the assessment of the needs for staff to implement a curriculum, in the appointment and promotion of teachers and in the organization of a staff development programme.
Abstract: Teaching is a demanding and complex task. This guide looks at teaching and what it involves. Implicit in the widely accepted and far-reaching changes in medical education is a changing role for the medical teacher. Twelve roles have been identified and these can be grouped in six areas in the model presented: (1) the information provider in the lecture, and in the clinical context; (2) the role model on-the-job, and in more formal teaching settings; (3) the facilitator as a mentor and learning facilitator; (4) the student assessor and curriculum evaluator; (5) the curriculum and course planner; and (6) the resource material creator, and study guide producer. As presented in the model, some roles require more medical expertise and others more educational expertise. Some roles have more direct face-to-face contact with students and others less. The roles are presented in a 'competing values' framework-they may convey conflicting messages, e.g. providing information or encouraging independent learning, helpi...
826 citations
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TL;DR: A quadruplet deep network using a margin-based online hard negative mining is proposed based on the quadruplet loss for the person ReID, which can lead to the model output with a larger inter- class variation and a smaller intra-class variation compared to the triplet loss.
Abstract: Person re-identification (ReID) is an important task in wide area video surveillance which focuses on identifying people across different cameras. Recently, deep learning networks with a triplet loss become a common framework for person ReID. However, the triplet loss pays main attentions on obtaining correct orders on the training set. It still suffers from a weaker generalization capability from the training set to the testing set, thus resulting in inferior performance. In this paper, we design a quadruplet loss, which can lead to the model output with a larger inter-class variation and a smaller intra-class variation compared to the triplet loss. As a result, our model has a better generalization ability and can achieve a higher performance on the testing set. In particular, a quadruplet deep network using a margin-based online hard negative mining is proposed based on the quadruplet loss for the person ReID. In extensive experiments, the proposed network outperforms most of the state-of-the-art algorithms on representative datasets which clearly demonstrates the effectiveness of our proposed method.
821 citations
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TL;DR: Spironolactone was the most effective blood pressure-lowering treatment, throughout the distribution of baseline plasma renin; but its margin of superiority and likelihood of being the best drug for the individual patient were many-fold greater in the lower than higher ends of the distribution.
819 citations
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TL;DR: An open standard format for multidimensional microscopy image data is described and it is called on the community to use open image data standards and to insist that all imaging platforms support these file formats.
Abstract: Data sharing is important in the biological sciences to prevent duplication of effort, to promote scientific integrity, and to facilitate and disseminate scientific discovery. Sharing requires centralized repositories, and submission to and utility of these resources require common data formats. This is particularly challenging for multidimensional microscopy image data, which are acquired from a variety of platforms with a myriad of proprietary file formats (PFFs). In this paper, we describe an open standard format that we have developed for microscopy image data. We call on the community to use open image data standards and to insist that all imaging platforms support these file formats. This will build the foundation for an open image data repository.
818 citations
Authors
Showing all 19404 results
Name | H-index | Papers | Citations |
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Matthias Mann | 221 | 887 | 230213 |
Mark I. McCarthy | 200 | 1028 | 187898 |
Stefan Schreiber | 178 | 1233 | 138528 |
Kenneth C. Anderson | 178 | 1138 | 126072 |
Masayuki Yamamoto | 171 | 1576 | 123028 |
Salvador Moncada | 164 | 495 | 138030 |
Jorge E. Cortes | 163 | 2784 | 124154 |
Andrew P. McMahon | 162 | 415 | 90650 |
Philip Cohen | 154 | 555 | 110856 |
Dirk Inzé | 149 | 647 | 74468 |
Andrew T. Hattersley | 146 | 768 | 106949 |
Antonio Lanzavecchia | 145 | 408 | 100065 |
Kim Nasmyth | 142 | 294 | 59231 |
David Price | 138 | 1687 | 93535 |
Dario R. Alessi | 136 | 354 | 74753 |