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Data Simulator
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Bioconductor
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BRB Array Tools
A web application for the integrated analysis of global gene expression patterns in cancer
A paper describing caGEDA has been published. Click here to download [
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Data Format: caGEDA Format 1
Data Format: caGEDA Format 2
Sample Data set Formats: [
caGEDA format 1
] [
caGEDA format 2
]
None
-------------------------------------------------------Published Data sets-----------------------------------------------------------
AML Success vs Failure(Golub et al, 1999)
Astrocytoma (Khatua et. al, 2003)
Astrocytoma (Van den Boom et. al, 2003)
Breast Cancer (Perou et. al, 2000)
BRCA1 vs BRCA2 (Hedenfalk et. al, 2001)
BRCA1 vs Sporadic (Hedenfalk et. al, 2001)
BRCA2 vs Sporadic (Hedenfalk et. al, 2001)
Colon Cancer: Epithelial vs Tumor(Alon et. al, 1999)
Colon Cancer: Muscle vs Tumor(Alon et al, 1999)
Colon Cancer (Alon et. al, 1999)
Lung Cancer (Garber et. al, 2001)
Lung Adenocarcinoma (NP vs NN)(Beer et.al, 2002)
Lung Adenocarcinoma (NP vs NN)(Reduced Geneset)(Beer et.al, 2002)
Lung Adenocarcinoma (NP vs NN)(Bhattacharjee et. al, 2001)
Lung Adenocarcinoma (NP vs NN)(Reduced Geneset)(Bhattacharjee et. al, 2001)
Lymphoma (Alizadeh et al, 2000)
Lymphoma (Devos et.al, 2002)
Lymphoma (Shipp et.al, 2002)
Mesothelioma (McDonald et.al, 2000)
Melanoma (Bittner et. al, 2000)
Ovarian Cancer (Welsh et. al, 2001)
--------------------------------------------Simulated Data sets [No Bias]--------------------------------------------
Random Data set
Perfect Study Design [Gamma Shape=1]
Perfect Study Design [Gamma Shape=20]
Perfect Study Design [Cauchy]
Confounded Study Design [Gamma Shape=1]
Confounded Study Design [Gamma Shape=20]
Confounded Study Design [Cauchy]
---------------------------Simulated Data sets [Additive Sample Bias]--------------------------------------------
Perfect Study Design [Gamma Shape=1, Additive Bias=5]
Perfect Study Design [Gamma Shape=20, Additive Bias=5]
Perfect Study Design [Cauchy, Additive Bias=5]
Confounded Study Design [Gamma Shape=1, Additive Bias=5]
Confounded Study Design [Gamma Shape=20, Additive Bias=5]
Confounded Study Design [Cauchy, Additive Bias=5]
---------------------------Simulated Data sets [Multiplicative Sample Bias]--------------------------------------------
Perfect Study Design [Gamma Shape=1, Multiplicative Bias=5]
Perfect Study Design [Gamma Shape=20, Multiplicative Bias=5]
Perfect Study Design [Cauchy, Multiplicative Bias=5]
Confounded Study Design [Gamma Shape=1, Multiplicative Bias=5]
Confounded Study Design [Gamma Shape=20, Multiplicative Bias=5]
Confounded Study Design [Cauchy, Multiplicative Bias=5]
---------------------------Simulated Data sets [Sample Bias : Additive + Multiplicative]--------------------------------------------
Perfect Study Design [Gamma Shape=1, Additive Bias=5, Multiplicative Bias=5]
Perfect Study Design [Gamma Shape=20, Additive Bias=5, Multiplicative Bias=5]
Perfect Study Design [Cauchy, Additive Bias=5, Multiplicative Bias=5]
Confounded Study Design [Gamma Shape=1, Additive Bias=5, Multiplicative Bias=5]
Confounded Study Design [Gamma Shape=20, Additive Bias=5, Multiplicative Bias=5]
Confounded Study Design [Cauchy, Additive Bias=5, Multiplicative Bias=5]
---------------------------Simulated Data sets [Sample Bias : Multiplicative + Additive]--------------------------------------------
Perfect Study Design [Gamma Shape=1, Multiplicative Bias=5, Additive Bias=5]
Perfect Study Design [Gamma Shape=20, Multiplicative Bias=5, Additive Bias=5]
Perfect Study Design [Cauchy, Multiplicative Bias=5, Additive Bias=5]
Confounded Study Design [Gamma Shape=1, Multiplicative Bias=5, Additive Bias=5]
Confounded Study Design [Gamma Shape=20, Multiplicative Bias=5, Additive Bias=5]
Confounded Study Design [Cauchy, Multiplicative Bias=5, Additive Bias=5]
UPITT Cancer Gene Expression Data set Links
Number of Samples
Number of Genes
Sample Classification
Sample Pairing Information
Normalization Step 1
None
Handle Negative Numbers
-----------------------------------------------------------------------
Filter Negative Numbers
Subtract Global Minimum
Data Transformation
-----------------------------------------------------------------------
Log - Base 2
Log - Base 10
Log - Base e
Conditional Log Transform
Square Root Transformation
Cube Root Transformation
Multiplicative Linear Normalization
-----------------------------------------------------------------------
- - - - Within Array - - -
Sum
Mean
Median
Quantile
Trimmed Mean
- - - - Among Array - - -
Minimum Mean Ratio
Median Mean Ratio
Additive Linear Normalization
-----------------------------------------------------------------------
- - - - Among Array - - -
Global Mean Adjustment
Max1, Min=0
Other Normalization
-----------------------------------------------------------------------
Z Transform
5% - 95% Adjustment
Quantile
Normalization Order
99
95
90
75
50
25
1 - 99
5 - 95
10 - 90
25 - 75
Global Normalization (Not Recommended)
Normalization within samples
Normalization within genes (Not Recommended)
Normalization within samples + genes (Not Recommended)
Normalization within genes + samples (Not Recommended)
Normalization within groups (Not Recommended)
Normalization Step 2
None
Handle Negative Numbers
-----------------------------------------------------------------------
Filter Negative Numbers
Subtract Global Minimum
Data Transformation
-----------------------------------------------------------------------
Log - Base 2
Log - Base 10
Log - Base e
Conditional Log Transform
Square Root Transformation
Cube Root Transformation
Multiplicative Linear Normalization
-----------------------------------------------------------------------
- - - - Within Array - - -
Sum
Mean
Median
Quantile
Trimmed Mean
- - - - Among Array - - -
Minimum Mean Ratio
Median Mean Ratio
Additive Linear Normalization
-----------------------------------------------------------------------
- - - - Among Array - - -
Global Mean Adjustment
Max=1, Min=0
Other Normalization
-----------------------------------------------------------------------
Z Transform
5% - 95% Adjustment
Quantile
Normalization Order
99
95
90
75
50
25
1 - 99
5 - 95
10 - 90
25 - 75
Global Normalization (Not Recommended)
Normalization within samples
Normalization within genes (Not Recommended)
Normalization within samples + genes (Not Recommended)
Normalization within genes + samples (Not Recommended)
Normalization within groups (Not Recommended)
Normalization Step 3
None
Handle Negative Numbers
-----------------------------------------------------------------------
Filter Negative Numbers
Subtract Global Minimum
Data Transformation
-----------------------------------------------------------------------
Log - Base 2
Log - Base 10
Log - Base e
Conditional Log Transform
Square Root Transformation
Cube Root Transformation
Multiplicative Linear Normalization
-----------------------------------------------------------------------
- - - - Within Array - - -
Sum
Mean
Median
Quantile
Trimmed Mean
- - - - Among Array - - -
Minimum Mean Ratio
Median Mean Ratio
Additive Linear Normalization
-----------------------------------------------------------------------
- - - - Among Array - - -
Global Mean Adjustment
Max=1, Min=0
Other Normalization
-----------------------------------------------------------------------
Z Transform
5% - 95% Adjustment
Quantile
Normalization Order
99
95
90
75
50
25
1 - 99
5 - 95
10 - 90
25 - 75
Global Normalization (Not Recommended)
Normalization within samples
Normalization within genes (Not Recommended)
Normalization within samples + genes (Not Recommended)
Normalization within genes + samples (Not Recommended)
Normalization within groups (Not Recommended)
Estimate Missing Values
No
K Nearest Neighbour
Duplicate Gene Entry
Compute Average of Genes with Identical Gene Names
Graphical Output Option
Generate Sample Frequency Distribution Images
Generate Chromosome Map
No
Pitt-PEAR
Amersham Human 20K
Literature Search
No
Yes
Permutation Test
None
Test for Significant Genes
SAM (Tusher et.al, 2001)
PPST Test
ABA Test
Permutation Count
100
200
500
1000
Permutation Threshold
Test Threshold
Delta
Start :
Stop :
Step :
Delta'
Test for Differentially Expressed Genes
None
J5 Test
Pooled Variance t Test
Simple t Test (Gossett et. al, 1905)
SAM Test (Tusher et.al, 2001)
Simple Separability Test
Weighted Separability Test
n fold [(M1-M2)/M2] (Not Recommended)
n fold (Ratio of Mean) (Not Recommended)
n fold (Mean of Ratio) (Not Recommended)
D1 Test (Under Development)
Signal to Noise Ratio (Furey et. al, 2000)
BSS/WSS Ratio (Dudoit et. al, 2002)
PPST Test
ABA Test
Paired t Test
Random Feature Selection Test
F-Test
Wilks Labmda Test
Segmented J5 Test
Intensity Scaled J5 Test
Mean Difference Test
Quantiles
Quantiles
1 - 99
5 - 95
10 - 90
25 - 75
Threshold
Alpha = 1.0
Alpha = 0.1
Alpha = 0.05
Alpha = 0.02
Alpha = 0.01
Alpha = 0.001
Alpha = 1.0
Alpha = 0.1
Alpha = 0.05
Alpha = 0.025
Alpha = 0.01
Alpha = 0.005
Alpha = 0.001
n Fold Ratio
Threshold
Measure of Central Tendency
Mean
Median
Trimmed Mean
Proportion of SD to calculate trimmed mean
Special Options
None
JK to Reduce False Positives
MDSS (Lyons-Weiler et.al, 2003)
Jackknife Count
Minimum Cluster Count
Maximum Gene Set Count
Expression Pattern Grid
Generate Expression Pattern Grid
Classifier Algorithm
Average Linkage Clustering
Maximum Linkage Clustering
Minimum Linkage Clustering
K-Means Clustering
Pitt N-Neighbours Clustering
Naive Bayes Classifier
Distance Function
Euclidean distance
1-Pearson's Correlation (Not Recommended)
Manhattan/City block distance (Not Recommended)
Chebychev distance (Not Recommended)
Canberra distance (Not Recommended)
Minkowski Distance (Not Recommended)
Absolute 1-Pearson's Correlation (Not Recommended)
Chord Distance (Not Recommended)
Propoprtion of Genes (0.5 - 0.9)
Prior for the Sample
Proportion of the samples
0.5
Iterations
Neighbourhood Size
Common Neighbours
Computational Validation Option
None
External Leave One Out Validation
External Leave One Out Validation (Variable Threshold)
Random Resampling Validation (Variable Threshold)
Bootstrap
Efficiency Analysis
PACE Analysis
Iterations
Bootstrap Iterations
Percentage of Samples in Training Set
Display Result for Bootstrap value above
Threshold for Test
Start :
Stop :
Step :
University of Pittsburgh. All rights reserved.
Report problems to
Dr. James Lyons-Weiler
(Principle Investigator)
Or to
Robert Wolfe
This page was last updated on July 30, 2008