Percentages of specific p-value data

Slides:

Advertisements

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.

Advertisements

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

1 times table 2 times table 3 times table 4 times table 5 times table

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.

 decimals/cc-7th-fracs-to-decimals/v/converting-fractions-to-decimals-example.

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.

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.

Types of Cellular Networks. Gene Regulatory Networks

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.

Tables Learning Support

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.

Tables Example #1 How good is this image as an example of a table? Rate it from 1 to 10, with 10 as an excellent example and 1 as a poor example.

Comparison of the wild type of S. cerevisiae and S. paradoxus Karina Alvarez and Natalie Williams.

Outline S. cerevisiae, a eukaryote known for cold-shock adaption, used in cold-shock experiments Deletion strand HMO1 and the comparison of microarray.

Comparison of wild type S. cerevisiae and S. paradoxus Natalie Williams and Karina Alvarez.

Comparison of the wild type of S. cerevisiae and S. paradoxus Karina Alvarez and Natalie Williams.

Control of Gene Expression

Eddie Azinge, John Lopez, and Corinne Wong

Final Presentation [work in progress… work completed for Week 11 Journal Assignment] Kara Dismuke.

Transcriptional Regulation

Deletion of ZAP1 as a transcriptional factor has minor effects on S

Week 14 Assignment Kara Dismuke.

Figure Results from First Run

Lauren Kelly April 19th, 2017 BIOL398-05

Biomathematical Modeling: The Deletion of HMO1 and its Effect on Cold Shock Reaction in S. cerevisiae Lauren Magee & Lucia Ramirez Department of Mathematics.

ANOVA Within Strain P-values

Analysis of GO annotation at cluster level by Agnieszka S. Juncker

Change in Expression after modifying fix_b?

Week 14 Output Figures Kristen Horstmann.

Change in Expression after modifying fix_b?

Change in Expression after modifying fix_b?

Comparison of the P-value significance between Wild Type and ΔGLN3

Within Strain ANOVA for All Strains

Significance Table from Anova Test

Fig. 2. Mechanism of PD-L1 down-regulation in NOD HSPCs.

DNA, protein synthesis, gene expression & mutations

Change in Expression after modifying fix_b?

Final Presentation [work in progress… work completed for Week 11 Journal Assignment] Kara Dismuke.

Week 11 Assignment Figures

NP23 leukemias exhibit Hox/Meis1 stem cell–like gene expression signatures that are enriched in human HSPC and AML genesets. NP23 leukemias exhibit Hox/Meis1.

Comparison of the P-value significance between Wild Type and ΔGLN3

ANOVA Within Strain P-values

Within-strain ANOVA for dCIN5

Week 11 Assignment Figures

(Within-Strain ANOVA)

Comparison of the P-value significance between Wild Type and dGLN3

Gene expression profiling of human bone marrow-derived mesenchymal stem cells during adipogenesis DOI: /FHC.a Gene-act-network according.

ANOVA WT STRAIN p < 0.05 number (%) p < 0.01 p < p <

CISC 667 Intro to Bioinformatics (Spring 2007) Genetic networks and gene expression data CISC667, S07, Lec24, Liao.

Tradeoffs and Optimality in the Evolution of Gene Regulation

Jeffrey Crosson and William Gendron

Urine ammonia is highly correlated with plasma K

Prokaryotic (Bacterial) Gene Regulation

3 times tables.

6 times tables.

Dynamic regulatory map and static network for yeast response to AA starvation. Dynamic regulatory map and static network for yeast response to AA starvation.

Verification of NEUROD2 binding to the conserved element within Stim1 intron 2. Verification of NEUROD2 binding to the conserved element within Stim1 intron.

Percentages of specific p-value data

Distribution plot of the differentially expressed genes.

Distribution and extent of expression.

Benjamini & Hochberg-corrected p < 0.05 Bonferroni-corrected

Loyola Marymount University

Jeffrey Crosson and William Gendron

Jeffrey Crosson and William Gendron

Presentation transcript:

Percentages of specific p-value data 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 ANOVA WT dZAP1 p < 0.05 2378/6189 (31.42%) 2264/6189 (36.58%) p < 0.01 1527/6189 (24.67%) 1445/6189 (23.35%) p < 0.001 860/6189 (13.90%) 792/6189 (12.80%) p < 0.0001 460/6189 (7.43%) 414/6189 (6.69%) B-H p < 0.05 1656/6189 (26.76%) 1538/6189 (24.85%) Bonferroni p < 0.05 228/6189 (3.68%) 192/6189 (3.10%) From Excel data/calculations

Overall STEM Profile Results for Wild Type

Profile 45 Results

Profile 22 Results

Profile 9 Results

Profile 28 Results

Profile 48 Results

Profile 0 Results

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

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

Gene regulatory network for DNA binding ONLY (35 edges)