Bayesian Clustering of Transcription Factor Binding Motifs Shane T. J ENSEN and Jun S. L IU Genes are often regulated in living cells by proteins called transcription factors that bind directly to short segments of DNA i

Source URL: www-stat.wharton.upenn.edu

• Statistics
• Machine learning
• Cluster analysis
• Computational statistics
• Bioinformatics
• Hierarchical clustering
• Network analysis
• Dirichlet process
• K-means clustering
• DNA binding site
• Expectationmaximization algorithm
• Consensus clustering

Supplementary Material to: Clustered factor analysis of multineuronal spike data Here we provide details of the variational inference method for the mixPLDS model. To this end, we first discuss variational inference for

Source URL: stat.columbia.edu

Combining Continuous Progressive Model Adaptation and Factor Analysis for Speaker Verification Mitchell McLaren12 , Driss Matrouf1 , Robbie Vogt2 , Jean-Francois Bonastre1 1 2

Source URL: mistral.univ-avignon.fr

Charles Spearman William Revelle Northwestern University Charles Spearmanwas the leading psychometrician of the early 20th century. His work on the classical test theory, factor analysis, and the g theory of

Source URL: personality-project.org

Microsoft Word - klippel_etal2012similarities

Source URL: www.cognitivegiscience.psu.edu

• Cognition
• Knowledge representation
• Reasoning
• Cognitive science
• Computational topology
• Constraint programming
• Region connection calculus
• G factor
• Academia
• Spatial relation
• Cluster analysis
• Similarity

BIOINFORMATICS ORIGINAL PAPER Gene expression

Source URL: bioinformatics.oxfordjournals.org

• Statistics
• Hypothesis testing
• Statistical theory
• Principal component analysis
• KolmogorovSmirnov test
• Null hypothesis
• Factor analysis
• Statistical hypothesis testing
• False discovery rate
• Null
• P-value
• Multiple comparisons problem

Powersharing, Protection, and Peace Scott Gates, Benjamin A. T. Graham, Yonatan Lupu Håvard Strand, Kaare W. Strøm September 17, 2015

Source URL: yonatanlupu.com

• Statistics
• Regression analysis
• Statistical models
• Forms of government
• Estimation theory
• Consociationalism
• Logistic regression
• Scott Gates
• Proportional hazards model
• Factor analysis
• Binary number
• Dummy variable

Logistic Factor Analysis Vignette Wei Hao, Minsun Song, John D. Storey October 14, 2015 1

Source URL: www.bioconductor.org

Package ‘lfa’ April 14, 2016 Title Logistic Factor Analysis for Categorical Data VersionDateAuthor Wei Hao, Minsun Song, John D. Storey

Source URL: www.bioconductor.org

CS229 PROJECT: FACTOR-ANALYSIS WITH PARTIALLY OBSERVED TRAINING DATA PAUL CSONKA, BARRETT HEYNEMAN, SALOMON TRUJILLO 1. Motivation Factor Analysis is typically applied to problems when we have a set of m training

Source URL: cs229.stanford.edu