DEWNA

DEWNA

Calculating......

Welcome
Import Data
Data Preprocessing
Results

Step 1: Upload Original Data

1. Expression data:

I. Upload II. Load example data

1.1. Import data：

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First row as column names ?

First column as row names ?

2. Samples information:

2.1. Group and replicate number:

2.2. Group names:

Download example expression data

Samples information:

2.1. Group and replicate number:

2.2. Group names:

3. Height and width for figures:

3.1. Height for figure:

3.2. Width for figure:

1. Expression data：

Step 2: Data Pre-processing

1. Missing value type:

2. Count NA by each group or not?

3. NA ratio:

4. Median normalization or not?

5. Log or not?

6. CV or not?

6.1. CV threshold (raw scale):

2.1. Imputation table:

2.2. NA plot by column:

2.3. NA plot by row:

Step 3: Results

1. Whether type in the cluster number?

1.1. Clustering number:

2. Color for times/groups:

3. Color for heatmap:

4. Type in targeted cluster or not?

4.1. Targeted cluster index:

5. Show the labels of the hub network or not?

6. Species id from KEGG database:

7. KEGG pathway classification:

3.1. Cluster activity analysis 3.2. Pathway activity analysis

3.1.1. Clustering 3.1.2. Cluster activity matrix 3.1.3. Network and hubs 3.1.4. Hubs pathways

3.1.1.1. Clustering table:

3.1.2.1. Heatmap of cluster activity value matirx:

3.1.2.2. Cluster activity value table:

3.1.2.3. Entropy weighted expression table:

3.1.3.1. Network of hubs:

3.1.3.2. Entropy weighted expression table of Hubs:

3.1.4.1. Hubs pathway barplot based on KEGG database:

3.1.4.2. Hubs pathway table based on KEGG database:

3.2.1. Heatmap of KEGG pathway activity value matirx:

3.2.2. Bar plots of significantly enriched KEGG pathways:

Threshold of Reporter Score:

3.2.3. KEGG pathway activity value and reporter score table:

3.2.4. Network of significantly enriched KEGG pathways:

Targeted KEGG pathway ids:

3.2.5. KEGG pathway and protein statistical results table: