Publications
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Cluster analysis and display of genome-wide expression patterns
A system of cluster analysis for genome-wide expression data from DNA microarray hybridization is described that uses standard statistical algorithms to arrange genes according ...
Arlequin suite ver 3.5: a new series of programs to perform population genetics analyses under Linux and Windows
Abstract We present here a new version of the Arlequin program available under three different forms: a Windows graphical version (W inarl35 ), a console version of Arlequin ( a...
RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models
Abstract Summary: RAxML-VI-HPC (randomized axelerated maximum likelihood for high performance computing) is a sequential and parallel program for inference of large phylogenies ...
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Training Deep Neural Networks is complicated by the fact that the distribution of each layer's inputs changes during training, as the parameters of the previous layers change. T...
GENEPOP (Version 1.2): Population Genetics Software for Exact Tests and Ecumenicism
Journal Article GENEPOP (Version 1.2): Population Genetics Software for Exact Tests and Ecumenicism Get access M. Raymond, M. Raymond Institut des Sciences de l'Evolution, URA C...
UCHIME improves sensitivity and speed of chimera detection
Abstract Motivation: Chimeric DNA sequences often form during polymerase chain reaction amplification, especially when sequencing single regions (e.g. 16S rRNA or fungal Interna...
Self-efficacy mechanism in human agency.
This article addresses the centrality of the self-efficacy mechanism in human agency. Self-per- cepts of efficacy influence thought patterns, actions, and emotional arousal. In ...
Framing: Toward Clarification of a Fractured Paradigm
Journal Article Framing: Toward Clarification of a Fractured Paradigm Get access Robert M. Entman Robert M. Entman 1Robert M. Entman is an associate professor of communication s...
Neural Machine Translation by Jointly Learning to Align and Translate
Neural machine translation is a recently proposed approach to machine translation. Unlike the traditional statistical machine translation, the neural machine translation aims at...