
Isolation by distance, based on microsatellite data, tested with
... an individual to be assigned to any one population sampled. Two methods are implemented: (i) a method developed by Paetkau et al. (1995); and (ii) the Bayesian method from Rannala & Mountain (1997). Both methods assume independent association of alleles, that is Hardy–Weinberg ...
... an individual to be assigned to any one population sampled. Two methods are implemented: (i) a method developed by Paetkau et al. (1995); and (ii) the Bayesian method from Rannala & Mountain (1997). Both methods assume independent association of alleles, that is Hardy–Weinberg ...
Basic Tree Thinking Assessment David A. Baum, Stacey DeWitt
... indicated with a different color. This tree does not depict descent relationships, just degree of chemical similarity. On the right, the evolution of these chemical types is reconstructed on a phylogeny of the plants (this does depict inferred evolutionary relationships). The colors correspond to th ...
... indicated with a different color. This tree does not depict descent relationships, just degree of chemical similarity. On the right, the evolution of these chemical types is reconstructed on a phylogeny of the plants (this does depict inferred evolutionary relationships). The colors correspond to th ...
Species Tree Estimation using Maximum Likelihood Version 1.1
... solution) and values closer to 1 result in more rapid cooling (shorter search time but trees found are more likely to be only locally optimal). The default value given in the settings file should be adequate for most problems, and thus the user will not generally need to change this setting. The alg ...
... solution) and values closer to 1 result in more rapid cooling (shorter search time but trees found are more likely to be only locally optimal). The default value given in the settings file should be adequate for most problems, and thus the user will not generally need to change this setting. The alg ...
Cluster analysis for microaray data
... based on global similarities of rows or columns of an expression data matrix. • But the similarity of the expression profiles of a group of genes may be restricted to certain experimental conditions. • Goal of biclustering: identify “homogeneous” submatrices. • Difficulties: computational complexity ...
... based on global similarities of rows or columns of an expression data matrix. • But the similarity of the expression profiles of a group of genes may be restricted to certain experimental conditions. • Goal of biclustering: identify “homogeneous” submatrices. • Difficulties: computational complexity ...
Cluster analysis for microaray data
... based on global similarities of rows or columns of an expression data matrix. • But the similarity of the expression profiles of a group of genes may be restricted to certain experimental conditions. • Goal of biclustering: identify “homogeneous” submatrices. • Difficulties: computational complexity ...
... based on global similarities of rows or columns of an expression data matrix. • But the similarity of the expression profiles of a group of genes may be restricted to certain experimental conditions. • Goal of biclustering: identify “homogeneous” submatrices. • Difficulties: computational complexity ...
The three main aspects of statistics
... A major portion of statistics deals with making decisions, inferences, predictions, and forecasts about populations based on results obtained from samples. For example, we may make some decisions about the political views of all college and university students based on the political views of 1000 st ...
... A major portion of statistics deals with making decisions, inferences, predictions, and forecasts about populations based on results obtained from samples. For example, we may make some decisions about the political views of all college and university students based on the political views of 1000 st ...
Subtle Accents
... individual code into a java tree object. Each Run's individuals can be exported via the GUI to a separate file, the code generated can then be used to create an individual and used to play against crafty. A crafty class was written to be able to play against crafty both outside a run, and inside ...
... individual code into a java tree object. Each Run's individuals can be exported via the GUI to a separate file, the code generated can then be used to create an individual and used to play against crafty. A crafty class was written to be able to play against crafty both outside a run, and inside ...
The Inherited Cancer Connect Mutation Carrier Database
... Researchers may approach ICCon for use of the database for specific research projects. Every project will need approval from an Ethics Committee as well as the ICCon Governance Committee. ICCon will only be able to provide de-identified data from the ICCon database directly to the project researcher ...
... Researchers may approach ICCon for use of the database for specific research projects. Every project will need approval from an Ethics Committee as well as the ICCon Governance Committee. ICCon will only be able to provide de-identified data from the ICCon database directly to the project researcher ...
A Tree Based Data Aggregation Scheme for Wireless Sensor
... gathering Algorithm) which finds edge capacities that flow maximum transmission by running a linear program. This algorithm is able to maximize the lifetime of the network with certain locations of each node and the base station. One year later, Dasgupta et al. [2] extended MLDA by applying a cluste ...
... gathering Algorithm) which finds edge capacities that flow maximum transmission by running a linear program. This algorithm is able to maximize the lifetime of the network with certain locations of each node and the base station. One year later, Dasgupta et al. [2] extended MLDA by applying a cluste ...
Consensus Clustering for Binning Metagenome Sequences
... In this paper we present a model based on consensus of different clustering models by the combination of different distances measures. The difference in the models are referred to the data use to train them. The data are reconstructed using different lengths of sequences. The proposed method is appl ...
... In this paper we present a model based on consensus of different clustering models by the combination of different distances measures. The difference in the models are referred to the data use to train them. The data are reconstructed using different lengths of sequences. The proposed method is appl ...
When Is Hub Gene Selection Better than
... • We compare standard meta-analysis with consensus network analysis in three comprehensive and unbiased ...
... • We compare standard meta-analysis with consensus network analysis in three comprehensive and unbiased ...
An algebra-based method for inferring gene regulatory networks
... underdetermined, it is essential to have the option of incorporating into the inference process, prior knowledge about the network, along with an effective description of the search space of dynamic models. Finally, it is also important to have an understanding of how a given inference method is aff ...
... underdetermined, it is essential to have the option of incorporating into the inference process, prior knowledge about the network, along with an effective description of the search space of dynamic models. Finally, it is also important to have an understanding of how a given inference method is aff ...
Preprocessing Affymetrix Data Educational Materials ©2005 R
... • RNA degradation plots inform us as to whether there are big differences in RNA degradation between arrays. • The amount of degradation (slope of the lines) is not that important, but rather whether one (or more) lines have very different slopes, or other features, than the others • These differenc ...
... • RNA degradation plots inform us as to whether there are big differences in RNA degradation between arrays. • The amount of degradation (slope of the lines) is not that important, but rather whether one (or more) lines have very different slopes, or other features, than the others • These differenc ...
PPT - Bioinformatics.ca
... Common Tasks • Purpose: to convert various raw data forms into data matrices suitable for statistical analysis • Supported data formats – Concentration tables (Targeted Analysis) – Peak lists (Untargeted) – Spectral bins (Untargeted) – Raw spectra (Untargeted) ...
... Common Tasks • Purpose: to convert various raw data forms into data matrices suitable for statistical analysis • Supported data formats – Concentration tables (Targeted Analysis) – Peak lists (Untargeted) – Spectral bins (Untargeted) – Raw spectra (Untargeted) ...
SVD and PCA
... Deflation • Once we have found an eigenvector e1 with eigenvalue 1, can compute matrix A – 1 e1 e1 T • This makes eigenvalue of e1 equal to 0, but has no effect on other eigenvectors/values • In principle, could find all eigenvectors this way ...
... Deflation • Once we have found an eigenvector e1 with eigenvalue 1, can compute matrix A – 1 e1 e1 T • This makes eigenvalue of e1 equal to 0, but has no effect on other eigenvectors/values • In principle, could find all eigenvectors this way ...
What are summary statistics 0 1 0 0 1 0 0 0 1 0 0 0 1 0
... • Directly testing functional units (genes vs. SNPs) • Greatly reduces the multiple hypothesis testing burden • Tissue relevance: can impute expression for different tissue types, measure which one most correlated with the trait • Direction of effect: not only which gene is involved, but does under/ ...
... • Directly testing functional units (genes vs. SNPs) • Greatly reduces the multiple hypothesis testing burden • Tissue relevance: can impute expression for different tissue types, measure which one most correlated with the trait • Direction of effect: not only which gene is involved, but does under/ ...
statistics guided notebook/for use with mario
... If you are _______________________ a study and want to use a ___________________ _______________ to ___________________ your __________________, the _________________ must be worded so that it becomes the _______________________ ______________________. You can _____________________ _________________ ...
... If you are _______________________ a study and want to use a ___________________ _______________ to ___________________ your __________________, the _________________ must be worded so that it becomes the _______________________ ______________________. You can _____________________ _________________ ...
grappa - Department of Computer Science
... random events (based upon 120 genes and inversion only, but robust to errors in the model) . – Polynomial time, fastest of the three. ...
... random events (based upon 120 genes and inversion only, but robust to errors in the model) . – Polynomial time, fastest of the three. ...
March 20 - Mouse Genome Informatics
... Object of class "matrix" The observed expression levels. This is a matrix with columns representing patients or cases and rows representing genes. se.exprs: Object of class "matrix" This is a matrix of the same dimensions as exprs which contains standard error estimates for the estimated expression ...
... Object of class "matrix" The observed expression levels. This is a matrix with columns representing patients or cases and rows representing genes. se.exprs: Object of class "matrix" This is a matrix of the same dimensions as exprs which contains standard error estimates for the estimated expression ...
Document
... To calculate AMOVA ST values we will use Arlequin and the Arlequin input file generated by Convert. This file has a predefined structure with two groups for comparison: Group 1 contains MEN, PLU, SANB, SIS, and SAND; Group 2 contains SIE, SLO, FRE, SAC, and MOD. Defining a genetic structure is only ...
... To calculate AMOVA ST values we will use Arlequin and the Arlequin input file generated by Convert. This file has a predefined structure with two groups for comparison: Group 1 contains MEN, PLU, SANB, SIS, and SAND; Group 2 contains SIE, SLO, FRE, SAC, and MOD. Defining a genetic structure is only ...
TreeFam v9: a new website, more species and orthology-on-the
... of the genes. Here we describe an update of the TreeFam database. The TreeFam project was resurrected in 2012 and has seen two releases since. The latest release (TreeFam 9) was made available in March 2013. It has orthology predictions and gene trees for 109 species in 15 736 families covering 2.2 ...
... of the genes. Here we describe an update of the TreeFam database. The TreeFam project was resurrected in 2012 and has seen two releases since. The latest release (TreeFam 9) was made available in March 2013. It has orthology predictions and gene trees for 109 species in 15 736 families covering 2.2 ...
Document
... genomewide type I error. It can be easily adapted to the analysis of complex genetic models with several genetic effects and with interaction, or epistasis, between genes. ...
... genomewide type I error. It can be easily adapted to the analysis of complex genetic models with several genetic effects and with interaction, or epistasis, between genes. ...