Presentation is loading. Please wait.

Presentation is loading. Please wait.

ANOVA WTdZAP1 p < 0.052378/6189 (31.42%)2264/6189 (36.58%) p < 0.011527/6189 (24.67%)1445/6189 (23.35%) p < 0.001860/6189 (13.90%)792/6189 (12.80%) p <

Published byEvelyn Hoover Modified over 8 years ago

Similar presentations

Presentation on theme: "ANOVA WTdZAP1 p < 0.052378/6189 (31.42%)2264/6189 (36.58%) p < 0.011527/6189 (24.67%)1445/6189 (23.35%) p < 0.001860/6189 (13.90%)792/6189 (12.80%) p <"— Presentation transcript:

1 ANOVA WTdZAP1 p < 0.052378/6189 (31.42%)2264/6189 (36.58%) p < 0.011527/6189 (24.67%)1445/6189 (23.35%) p < 0.001860/6189 (13.90%)792/6189 (12.80%) p < 0.0001460/6189 (7.43%)414/6189 (6.69%) B-H p < 0.051656/6189 (26.76%)1538/6189 (24.85%) Bonferroni p < 0.05228/6189 (3.68%)192/6189 (3.10%) Table 1: Bonferroni-adjusted p-value proved most selective with 3.68% while, as expected, the other data became more specific as the p-value became more stringent Percentages of specific p-value data

2 Overall STEM Profile Results for Wild Type

3 Profile 45 Results

4 Profile 22 Results

5 Profile 9 Results

6 Profile 28 Results

7 Profile 48 Results

8 Profile 0 Results

9 DNA Binding And Expression Degree Distribution

10 DNA Binding Plus Expression Degree Distribution

11 Only DNA Binding Degree Distribution

12 Gene regulatory network for matrix of binding AND expression (5 edges)

13 Gene regulatory network for documented binding PLUS expression (141 edges)

14 Gene regulatory network for DNA binding ONLY (35 edges)

Download ppt "ANOVA WTdZAP1 p < 0.052378/6189 (31.42%)2264/6189 (36.58%) p < 0.011527/6189 (24.67%)1445/6189 (23.35%) p < 0.001860/6189 (13.90%)792/6189 (12.80%) p <"

Similar presentations

What is neural stemness? Why is it important? What are the molecular signatures of neural stemness? What are the regulatory networks that control neural.

What is neural stemness? Why is it important? What are the molecular signatures of neural stemness? What are the regulatory networks that control neural.
Promoter Panel Review. Background related Promoter In genetics, a promoter is a DNA sequence that enables a gene to be transcribed. It may be very long.

Promoter Panel Review. Background related Promoter In genetics, a promoter is a DNA sequence that enables a gene to be transcribed. It may be very long.
Distribution of DBDs in the TF Regulatory Network Gene Product Negative regulation with binding site data Positive regulation with binding site data _.

Distribution of DBDs in the TF Regulatory Network Gene Product Negative regulation with binding site data Positive regulation with binding site data _.
1 times table 2 times table 3 times table 4 times table 5 times table

1 times table 2 times table 3 times table 4 times table 5 times table
Data analysis of Fontan et al. results does not support the findings of the paper Nicole Anguiano BIOL 368: Bioinformatics Laboratory December 10, 2014.

Data analysis of Fontan et al. results does not support the findings of the paper Nicole Anguiano BIOL 368: Bioinformatics Laboratory December 10, 2014.
The table shows a random sample of 100 hikers and the area of hiking preferred. Are hiking area preference and gender independent? Hiking Preference Area.

The table shows a random sample of 100 hikers and the area of hiking preferred. Are hiking area preference and gender independent? Hiking Preference Area.
Determining the Identity and Dynamics of the Gene Regulatory Network Controlling the Response to Cold Shock in Saccharomyces cerevisiae June 24, 2015.

Determining the Identity and Dynamics of the Gene Regulatory Network Controlling the Response to Cold Shock in Saccharomyces cerevisiae June 24, 2015.
Deletion of ZAP1 as a transcriptional factor has minor effects on S. cerevisiae regulatory network in cold shock KARA DISMUKE AND KRISTEN HORSTMANN MAY.

Deletion of ZAP1 as a transcriptional factor has minor effects on S. cerevisiae regulatory network in cold shock KARA DISMUKE AND KRISTEN HORSTMANN MAY.
Reconstructing gene networks Analysing the properties of gene networks Gene Networks Using gene expression data to reconstruct gene networks.

Reconstructing gene networks Analysing the properties of gene networks Gene Networks Using gene expression data to reconstruct gene networks.
 https://es.khanacademy.org/math/cc-seventh-grade-math/cc-7th-fractions- decimals/cc-7th-fracs-to-decimals/v/converting-fractions-to-decimals-example.

 decimals/cc-7th-fracs-to-decimals/v/converting-fractions-to-decimals-example.
GRNmap and GRNsight June 24, 2015. Systems Biology Workflow DNA microarray data: wet lab-generated or published Generate gene regulatory network Modeling.

GRNmap and GRNsight June 24, Systems Biology Workflow DNA microarray data: wet lab-generated or published Generate gene regulatory network Modeling.
Data Analysis and GRNmap Testing Grace Johnson and Natalie Williams June 24, 2015.

Data Analysis and GRNmap Testing Grace Johnson and Natalie Williams June 24, 2015.
Creating a Gene Regulatory Network Comparing a Wild Type Strain with a Mutant ΔGLN3 Deletion in S. cerevisiae Showed that ΔGLN3 Exhibits No Meaningful.

Creating a Gene Regulatory Network Comparing a Wild Type Strain with a Mutant ΔGLN3 Deletion in S. cerevisiae Showed that ΔGLN3 Exhibits No Meaningful.
Index Slide 2-5: Statistical testing results 6-14: Clustering results 15-17: GRNsight visualization of YEASTRACT results 18-20: GRNmap output visualization.

Index Slide 2-5: Statistical testing results 6-14: Clustering results 15-17: GRNsight visualization of YEASTRACT results 18-20: GRNmap output visualization.
Principles of Biostatistics ANOVA. DietWeight Gain (grams) Standard910 8 Junk Food10 13 12 Organic91012910 Table shows weight gains for mice on 3 diets.

Principles of Biostatistics ANOVA. DietWeight Gain (grams) Standard910 8 Junk Food Organic Table shows weight gains for mice on 3 diets.
Modelling from Sequence to Gene Regulatory Network to Phenotype.

Modelling from Sequence to Gene Regulatory Network to Phenotype.
$100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300.

$100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300.
Definitions Transcriptional Modules (TM) are groups of co-regulated genes and transcription factors regulating their expression –Basic building blocks.

Definitions Transcriptional Modules (TM) are groups of co-regulated genes and transcription factors regulating their expression –Basic building blocks.
Tables Learning Support

Tables Learning Support
Within Strain ANOVA WTdHAP4 p < 0.052377 (38.4%)2387 (38.6%) p < 0.011531 (24.7%)1489 (24.1 %) p < 0.001850 (13.8%)679 (11.0%) p < 0.0001449 (7.25%)240.

Within Strain ANOVA WTdHAP4 p < (38.4%)2387 (38.6%) p < (24.7%)1489 (24.1 %) p < (13.8%)679 (11.0%) p < (7.25%)240.

Similar presentations

Ads by Google