Institution
McGill University
Education•Montreal, Quebec, Canada•
About: McGill University is a education organization based out in Montreal, Quebec, Canada. It is known for research contribution in the topics: Population & Poison control. The organization has 72688 authors who have published 162565 publications receiving 6966523 citations. The organization is also known as: Royal institution of advanced learning & University of McGill College.
Topics: Population, Poison control, Health care, Cancer, Receptor
Papers published on a yearly basis
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TL;DR: The international system is not only an expression of domestic structures, but a cause of them as discussed by the authors, and two schools of analysis exploring the impact of international system upon domestic politics (regime types, institutions, coalitions, policies) may be distinguished: those that stress the international economy, and those which stress political-military rivalry, or war.
Abstract: The international system is not only an expression of domestic structures, but a cause of them. Two schools of analysis exploring the impact of the international system upon domestic politics (regime types, institutions, coalitions, policies) may be distinguished: those which stress the international economy, and those which stress political-military rivalry, or war. Among the former are such arguments as: late industrialization (associated with Gershenkron); dependencia or core-periphery arguments (Wallerstein); liberal development model (much American writing in the 50s and 60s); transnational relation-modernization (Nye, Keohane, Morse); neo-mercantilists (Gilpin); state-centered Marxists (Schurmann). Arguments stressing the role of war include those which focus on the organizational requirements of providing security (Hintze, Anderson), the special nature of foreign relations (classical political theory), territorial compensation (diplomatic history), and strains of foreign involvement (analysis of revolutions). These arguments provide the basis for criticism of much of the literature which uses domestic structure as an explanation of foreign policy, in particular those which (such as the strong-state weak-state distinction) tend, by excessive focus on forms, to obscure the connection between structures and interests, and the role of politics. These arguments also permit criticism of the notion of a recent fundamental discontinuity in the nature of international relations.
1,298 citations
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Stanford University1, Icahn School of Medicine at Mount Sinai2, Indiana University3, Memorial Sloan Kettering Cancer Center4, Mayo Clinic5, National Institutes of Health6, University of Utah7, Fred Hutchinson Cancer Research Center8, Johns Hopkins University9, NorthShore University HealthSystem10, University of Michigan11, University of North Carolina at Chapel Hill12, University of Turku13, Translational Genomics Research Institute14, Wayne State University15, University of Paris16, Cancer Council Victoria17, University of Melbourne18, University of Ulm19, University of Southern California20, Karolinska Institutet21, Northwestern University22, McGill University23, LSU Health Sciences Center New Orleans24
TL;DR: This work developed REVEL (rare exome variant ensemble learner), an ensemble method for predicting the pathogenicity of missense variants on the basis of individual tools: MutPred, FATHMM, VEST, PolyPhen, SIFT, PROVEAN, MutationAssessor, LRT, GERP, SiPhy, phyloP, and phastCons.
Abstract: The vast majority of coding variants are rare, and assessment of the contribution of rare variants to complex traits is hampered by low statistical power and limited functional data. Improved methods for predicting the pathogenicity of rare coding variants are needed to facilitate the discovery of disease variants from exome sequencing studies. We developed REVEL (rare exome variant ensemble learner), an ensemble method for predicting the pathogenicity of missense variants on the basis of individual tools: MutPred, FATHMM, VEST, PolyPhen, SIFT, PROVEAN, MutationAssessor, MutationTaster, LRT, GERP, SiPhy, phyloP, and phastCons. REVEL was trained with recently discovered pathogenic and rare neutral missense variants, excluding those previously used to train its constituent tools. When applied to two independent test sets, REVEL had the best overall performance (p −12 ) as compared to any individual tool and seven ensemble methods: MetaSVM, MetaLR, KGGSeq, Condel, CADD, DANN, and Eigen. Importantly, REVEL also had the best performance for distinguishing pathogenic from rare neutral variants with allele frequencies
1,295 citations
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TL;DR: The intent of this software is to assist scanning electron microscope users in interpretation of imaging and microanalysis and also with more advanced procedures including electron-beam lithography.
Abstract: Monte Carlo simulations have been widely used by microscopists for the last few decades. In the beginning it was a tedious and slow process, requiring a high level of computer skills from users and long computational times. Recent progress in the microelectronics industry now provides researchers with affordable desktop computers with clock rates greater than 3 GHz. With this type of computing power routinely available, Monte Carlo simulation is no longer an exclusive or long (overnight) process. The aim of this paper is to present a new user-friendly simulation program based on the earlier CASINO Monte Carlo program. The intent of this software is to assist scanning electron microscope users in interpretation of imaging and microanalysis and also with more advanced procedures including electron-beam lithography. This version uses a new architecture that provides results twice as quickly. This program is freely available to the scientific community and can be downloaded from the website: (www.gel.usherb.ca/casino).
1,295 citations
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TL;DR: An MNI‐to‐Talairach (MTT) transform to correct for bias between MNI and Talairach coordinates was formulated using a best‐fit analysis in one hundred high‐resolution 3‐D MR brain images.
Abstract: MNI coordinates determined using SPM2 and FSL/FLIRT with the ICBM-152 template were compared to Talairach coordinates determined using a landmark-based Talairach registration method (TAL). Analysis revealed a clear-cut bias in reference frames (origin, orientation) and scaling (brain size). Accordingly, ICBM-152 fitted brains were consistently larger, oriented more nose down, and translated slightly down relative to TAL fitted brains. Whole brain analysis of MNI/Talairach coordi- nate disparity revealed an ellipsoidal pattern with disparity ranging from zero at a point deep within the left hemisphere to greater than 1-cm for some anterior brain areas. MNI/Talairach coordinate dis- parity was generally less for brains fitted using FSL. The mni2tal transform generally reduced MNI/ Talairach coordinate disparity for inferior brain areas but increased disparity for anterior, posterior, and superior areas. Coordinate disparity patterns differed for brain templates (MNI-305, ICBM-152) using the same fitting method (FSL/FLIRT) and for different fitting methods (SPM2, FSL/FLIRT) using the same template (ICBM-152). An MNI-to-Talairach (MTT) transform to correct for bias between MNI and Talairach coordinates was formulated using a best-fit analysis in one hundred high-resolution 3-D MR brain images. MTT transforms optimized for SPM2 and FSL were shown to reduced group mean MNI/Talairach coordinate disparity from a 5-13 mm to 1-2 mm for both deep and superficial brain sites. MTT transforms provide a validated means to convert MNI coordinates to Talairach compatible coordinates for studies using either SPM2 or FSL/FLIRT with the ICBM-152 template. Hum Brain Mapp
1,293 citations
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TL;DR: Normal anthropometric standards are presented for new-born Caucasian infants at sea level between 25 and 44 weeks' gestational age based upon measurements in 7 dimensions made in duplicate by a single observer using standard measurement techniques.
1,291 citations
Authors
Showing all 73373 results
Name | H-index | Papers | Citations |
---|---|---|---|
Karl J. Friston | 217 | 1267 | 217169 |
Yi Chen | 217 | 4342 | 293080 |
Yoshua Bengio | 202 | 1033 | 420313 |
Irving L. Weissman | 201 | 1141 | 172504 |
Mark I. McCarthy | 200 | 1028 | 187898 |
Lewis C. Cantley | 196 | 748 | 169037 |
Martin White | 196 | 2038 | 232387 |
Michael Marmot | 193 | 1147 | 170338 |
Michael A. Strauss | 185 | 1688 | 208506 |
Alan C. Evans | 183 | 866 | 134642 |
Douglas R. Green | 182 | 661 | 145944 |
David A. Weitz | 178 | 1038 | 114182 |
David L. Kaplan | 177 | 1944 | 146082 |
Hyun-Chul Kim | 176 | 4076 | 183227 |
Feng Zhang | 172 | 1278 | 181865 |