Posterior probabilities of positive interaction between the two platforms (A), differential CNA (B) and differential joint behaviour (C) after simulation 2.

Log posterior probabilities when A and C are derived.

Yaxuan Wang (4670974)
Zhen Cao (30837)
Huw A. Ogilvie (3300615)
Luay Nakhleh (42577)

August 2021

The natural logarithm of the posterior probability of the phylogenies, given the trait states of spe...

FigureS3

Adams, Richard
Schield, Drew
Card, Daren
Castoe, Todd

May 2018

FIGURE S3. The effects of species-specific positive selection on posterior probabilities of species ...

Marginal inclusion probabilities for each gene over three platforms.

Suprateek Kundu (5570852)
Yichen Cheng (3551063)
Minsuk Shin (5570855)
Ganiraju Manyam (2227252)
Bani K. Mallick (543542)
Veerabhadran Baladandayuthapani (170016)

July 2018

The probabilities are presented for the three platforms grouped by genes, with blue, red and blac...

Posterior probabilities of differential CNA (on the x-axis) and differential expression (y-axis) obtained respectively through the marginal models on CNA data and gene expression data (A).

Filippo Trentini (433274)
Yuan Ji (5702)
Takayuki Iwamoto (190293)
Yuan Qi (71013)
Lajos Pusztai (78763)
Peter Müller (433275)

July 2013

Black dots highlight posterior probabilities of genes which are claimed by the model to show join...

Gene and Pathway selection results in Scenario 2.

Bin Peng (31749)
Dianwen Zhu (404720)
Bradley P. Ander (430096)
Xiaoshuai Zhang (404718)
Fuzhong Xue (116249)
Frank R. Sharp (430097)
Xiaowei Yang (116246)

July 2013

The top figure corresponds to the posterior probabilities of gene selection with effect size , an...

Gene and Pathway selection results in Scenario 1.

Bin Peng (31749)
Dianwen Zhu (404720)
Bradley P. Ander (430096)
Xiaoshuai Zhang (404718)
Fuzhong Xue (116249)
Frank R. Sharp (430097)
Xiaowei Yang (116246)

July 2013

The top figure corresponds to the posterior distribution of gene with effect size , and second fi...

Posterior Gene Selection Probabilities when P = 2000.

Bin Peng (31749)
Dianwen Zhu (404720)
Bradley P. Ander (430096)
Xiaoshuai Zhang (404718)
Fuzhong Xue (116249)
Frank R. Sharp (430097)
Xiaowei Yang (116246)

July 2013

The top figure shows the result for Scenario 3, and the bottom one Scenario 4.</p

Posterior probabilities of differential expression.

Giusi Moffa (1390279)
Gerrit Erdmann (193638)
Oksana Voloshanenko (2818531)
Christian Hundsrucker (2818534)
Mohammad J. Sadeh (2818528)
Michael Boutros (7610)
Rainer Spang (21155)

June 2016

Heat-map of the posterior probabilities of differential expression in the silencing experiments. ...

Posterior inferences for the mean and genetic variance; the mode, mean, median and higher posterior density (HPD) interval of the broad-sense heritability, considering the single-trait multi-environment models.

Lívia Gomes Torres (5460119)
Mateus Cupertino Rodrigues (5460113)
Nathan Lamounier Lima (5460110)
Tatiane Freitas Horta Trindade (5460122)
Fabyano Fonseca e Silva (804265)
Camila Ferreira Azevedo (4252774)
Rodrigo Oliveira DeLima (5460116)

June 2018

Posterior inferences for the mean and genetic variance; the mode, mean, median and higher posteri...

FigureS4

Adams, Richard
Schield, Drew
Card, Daren
Castoe, Todd

May 2018

FIGURE S4. The effects of species-specific positive selection on posterior probabilities of species ...

Posterior inferences for the mean and genetic variance; the mode, mean, median and higher posterior density (HPD) interval of the broad-sense heritability; and the mode, mean, median and higher posterior density (HPD) interval of the genetic correlation, considering the proposed multi-trait multi-environment model.

Lívia Gomes Torres (5460119)
Mateus Cupertino Rodrigues (5460113)
Nathan Lamounier Lima (5460110)
Tatiane Freitas Horta Trindade (5460122)
Fabyano Fonseca e Silva (804265)
Camila Ferreira Azevedo (4252774)
Rodrigo Oliveira DeLima (5460116)

June 2018

Posterior inferences for the mean and genetic variance; the mode, mean, median and higher posteri...

Models for genetic interactions within CNV regions.

Matthew Jensen (3556064)
Santhosh Girirajan (162364)

January 2019

(A) Several models of interactions among CNV genes are shown. These models include (i) a single-gene...

Posterior probabilities that each residue of the CENH3HCP-3 is positively selected under M8 model.

František Zedek (186738)
Petr Bureš (186740)

January 2012

Posterior probabilities that each residue of the CENH3HCP-3 is positively selected und...

Posterior probabilities of all 16 models.

Peter D. Fields (626914)
Douglas R. Taylor (187642)

September 2014

Our most probable model (bolded) included the composite variable of population age and population...

Comparing the posterior probabilities of putative aberrant gene-pairs with corresponding PCC (Pearson Correlation Coefficient) values that were defined among genes prior to the Bayesian analyses, (A) for SKBR3 and (B) BT474 cell-lines.

A. K. M. Azad (442132)
Alfons Lawen (3833179)
Jonathan M. Keith (174258)

March 2017

The first figures in (A) and (B) show the sorted posterior probability values of the putative abe...

Log posterior probabilities when A and C are derived.

Yaxuan Wang (4670974)
Zhen Cao (30837)
Huw A. Ogilvie (3300615)
Luay Nakhleh (42577)

August 2021

The natural logarithm of the posterior probability of the phylogenies, given the trait states of spe...

FigureS3

Adams, Richard
Schield, Drew
Card, Daren
Castoe, Todd

May 2018

FIGURE S3. The effects of species-specific positive selection on posterior probabilities of species ...

Marginal inclusion probabilities for each gene over three platforms.

Suprateek Kundu (5570852)
Yichen Cheng (3551063)
Minsuk Shin (5570855)
Ganiraju Manyam (2227252)
Bani K. Mallick (543542)
Veerabhadran Baladandayuthapani (170016)

July 2018

The probabilities are presented for the three platforms grouped by genes, with blue, red and blac...

Posterior probabilities of differential CNA (on the x-axis) and differential expression (y-axis) obtained respectively through the marginal models on CNA data and gene expression data (A).

Filippo Trentini (433274)
Yuan Ji (5702)
Takayuki Iwamoto (190293)
Yuan Qi (71013)
Lajos Pusztai (78763)
Peter Müller (433275)

July 2013

Black dots highlight posterior probabilities of genes which are claimed by the model to show join...

Gene and Pathway selection results in Scenario 2.

Bin Peng (31749)
Dianwen Zhu (404720)
Bradley P. Ander (430096)
Xiaoshuai Zhang (404718)
Fuzhong Xue (116249)
Frank R. Sharp (430097)
Xiaowei Yang (116246)

July 2013

The top figure corresponds to the posterior probabilities of gene selection with effect size , an...

Gene and Pathway selection results in Scenario 1.

Bin Peng (31749)
Dianwen Zhu (404720)
Bradley P. Ander (430096)
Xiaoshuai Zhang (404718)
Fuzhong Xue (116249)
Frank R. Sharp (430097)
Xiaowei Yang (116246)

July 2013

The top figure corresponds to the posterior distribution of gene with effect size , and second fi...

Posterior Gene Selection Probabilities when P = 2000.

Bin Peng (31749)
Dianwen Zhu (404720)
Bradley P. Ander (430096)
Xiaoshuai Zhang (404718)
Fuzhong Xue (116249)
Frank R. Sharp (430097)
Xiaowei Yang (116246)

July 2013

The top figure shows the result for Scenario 3, and the bottom one Scenario 4.</p

Posterior probabilities of differential expression.

Giusi Moffa (1390279)
Gerrit Erdmann (193638)
Oksana Voloshanenko (2818531)
Christian Hundsrucker (2818534)
Mohammad J. Sadeh (2818528)
Michael Boutros (7610)
Rainer Spang (21155)

June 2016

Heat-map of the posterior probabilities of differential expression in the silencing experiments. ...

Posterior inferences for the mean and genetic variance; the mode, mean, median and higher posterior density (HPD) interval of the broad-sense heritability, considering the single-trait multi-environment models.

Lívia Gomes Torres (5460119)
Mateus Cupertino Rodrigues (5460113)
Nathan Lamounier Lima (5460110)
Tatiane Freitas Horta Trindade (5460122)
Fabyano Fonseca e Silva (804265)
Camila Ferreira Azevedo (4252774)
Rodrigo Oliveira DeLima (5460116)

June 2018

Posterior inferences for the mean and genetic variance; the mode, mean, median and higher posteri...

FigureS4

Adams, Richard
Schield, Drew
Card, Daren
Castoe, Todd

May 2018

FIGURE S4. The effects of species-specific positive selection on posterior probabilities of species ...

Posterior inferences for the mean and genetic variance; the mode, mean, median and higher posterior density (HPD) interval of the broad-sense heritability; and the mode, mean, median and higher posterior density (HPD) interval of the genetic correlation, considering the proposed multi-trait multi-environment model.

Lívia Gomes Torres (5460119)
Mateus Cupertino Rodrigues (5460113)
Nathan Lamounier Lima (5460110)
Tatiane Freitas Horta Trindade (5460122)
Fabyano Fonseca e Silva (804265)
Camila Ferreira Azevedo (4252774)
Rodrigo Oliveira DeLima (5460116)

June 2018

Posterior inferences for the mean and genetic variance; the mode, mean, median and higher posteri...

Models for genetic interactions within CNV regions.

Matthew Jensen (3556064)
Santhosh Girirajan (162364)

January 2019

(A) Several models of interactions among CNV genes are shown. These models include (i) a single-gene...

Posterior probabilities that each residue of the CENH3HCP-3 is positively selected under M8 model.

František Zedek (186738)
Petr Bureš (186740)

January 2012

Posterior probabilities that each residue of the CENH3HCP-3 is positively selected und...

Posterior probabilities of all 16 models.

Peter D. Fields (626914)
Douglas R. Taylor (187642)

September 2014

Our most probable model (bolded) included the composite variable of population age and population...

Comparing the posterior probabilities of putative aberrant gene-pairs with corresponding PCC (Pearson Correlation Coefficient) values that were defined among genes prior to the Bayesian analyses, (A) for SKBR3 and (B) BT474 cell-lines.

A. K. M. Azad (442132)
Alfons Lawen (3833179)
Jonathan M. Keith (174258)

March 2017

The first figures in (A) and (B) show the sorted posterior probability values of the putative abe...

Log posterior probabilities when A and C are derived.

Yaxuan Wang (4670974)
Zhen Cao (30837)
Huw A. Ogilvie (3300615)
Luay Nakhleh (42577)

August 2021

The natural logarithm of the posterior probability of the phylogenies, given the trait states of spe...

FigureS3

Adams, Richard
Schield, Drew
Card, Daren
Castoe, Todd

May 2018

FIGURE S3. The effects of species-specific positive selection on posterior probabilities of species ...

Marginal inclusion probabilities for each gene over three platforms.

Suprateek Kundu (5570852)
Yichen Cheng (3551063)
Minsuk Shin (5570855)
Ganiraju Manyam (2227252)
Bani K. Mallick (543542)
Veerabhadran Baladandayuthapani (170016)

July 2018

The probabilities are presented for the three platforms grouped by genes, with blue, red and blac...

Posterior probabilities of positive interaction between the two platforms (A), differential CNA (B) and differential joint behaviour (C) after simulation 2.

Abstract

Extracted data

Posterior probabilities of positive interaction between the two platforms (A), differential CNA (B) and differential joint behaviour (C) after simulation 2.

Abstract

Extracted data

Related items

Related items