SurvOmics

The RNA section provides visualizations to illustrate the survival-related genes based on RNA expression in a specific cancer type.

Overall summary

Four algorithms identified the survival genes in four survival endpoints. The bar chart and Venn diagram, respectively, display the count and distribution of the survival genes.

Note: Significant gene percentages less than 0.01% are marked as 0.0%.

Summary of survival genes

This section provides the distribution and table of survival genes identified by four algorithms in a specific survival endpoint.

Click the tabs below to switch the results of different survival endpoints.

Survival genes by algorithms

The number and distribution of survival-related genes identified by four algorithms in overall survival.

Note: Significant gene percentages less than 0.01% are marked as 0.0%.

Survival genes table

The table provides survival gene symbols with their hazard ratios (red for positive values and blue for negative values), identification of machine learning algorithms, and the number of algorithms that identified them.

Survival genes by algorithms

The number and distribution of survival-related genes identified by four algorithms in progression-free interval.

Note: Significant gene percentages less than 0.01% are marked as 0.0%.

Survival genes table

The table provides survival gene symbols with their hazard ratios (red for positive values and blue for negative values), identification of machine learning algorithms, and the number of algorithms that identified them.

Survival genes by algorithms

The number and distribution of survival-related genes identified by four algorithms in disease-free interval.

Note: Significant gene percentages less than 0.01% are marked as 0.0%.

Survival genes table

The table provides survival gene symbols with their hazard ratios (red for positive values and blue for negative values), identification of machine learning algorithms, and the number of algorithms that identified them.

Survival genes by algorithms

The number and distribution of survival-related genes identified by four algorithms in disease-specific survival.

Note: Significant gene percentages less than 0.01% are marked as 0.0%.

Survival genes table

The table provides survival gene symbols with their hazard ratios (red for positive values and blue for negative values), identification of machine learning algorithms, and the number of algorithms that identified them.

The CNV section provides visualizations illustrating the survival-related genes based on copy number variation (CNV) gain or loss of coding genes in a specific cancer type.

Overall summary

Four algorithms identified the survival genes in four survival endpoints. The bar chart and Venn diagram, respectively, display the count and distribution of the survival genes.

Note: Significant gene percentages less than 0.01% are marked as 0.0%.

Summary of survival genes

This section provides the distribution and table of survival genes identified by four algorithms in a specific survival endpoint.

Click the tabs below to switch the results of different survival endpoints.

Survival genes by algorithms

The number and distribution of survival-related genes identified by four algorithms in overall survival.

Note: Significant gene percentages less than 0.01% are marked as 0.0%.

Survival genes table

The table provides survival gene symbols with their hazard ratios (red for positive values and blue for negative values), identification of machine learning algorithms, and the number of algorithms that identified them.

Survival genes by algorithms

The number and distribution of survival-related genes identified by four algorithms in progression-free interval.

Note: Significant gene percentages less than 0.01% are marked as 0.0%.

Survival genes table

The table provides survival gene symbols with their hazard ratios (red for positive values and blue for negative values), identification of machine learning algorithms, and the number of algorithms that identified them.

Survival genes by algorithms

The number and distribution of survival-related genes identified by four algorithms in disease-free interval

Note: Significant gene percentages less than 0.01% are marked as 0.0%.

Survival genes table

The table provides survival gene symbols with their hazard ratios (red for positive values and blue for negative values), identification of machine learning algorithms, and the number of algorithms that identified them.

Survival genes by algorithms

The number and distribution of survival-related genes identified by four algorithms in disease-specific survival.

Note: Significant gene percentages less than 0.01% are marked as 0.0%.

Survival genes table

The table provides survival gene symbols with their hazard ratios (red for positive values and blue for negative values), identification of machine learning algorithms, and the number of algorithms that identified them.

The Mutation section provides visualizations illustrating the survival-related genes based on mutation status in a specific cancer type.

Overall summary

Four algorithms identified the survival genes in four survival endpoints. The bar chart and Venn diagram, respectively, display the count and distribution of the survival genes.

Note: Significant gene percentages less than 0.01% are marked as 0.0%.

Summary of survival genes

This section provides the distribution and table of survival genes identified by four algorithms in a specific survival endpoint.

Click the tabs below to switch the results of different survival endpoints.

Survival genes by algorithms

The number and distribution of survival-related genes identified by four algorithms in overall survival.

Note: Significant gene percentages less than 0.01% are marked as 0.0%.

Survival genes table

The table provides survival gene symbols with their hazard ratios (red for positive values and blue for negative values), identification of machine learning algorithms, and the number of algorithms that identified them.

Survival genes by algorithms

The number and distribution of survival-related genes identified by four algorithms in progression-free interval.

Note: Significant gene percentages less than 0.01% are marked as 0.0%.

Survival genes table

The table provides survival gene symbols with their hazard ratios (red for positive values and blue for negative values), identification of machine learning algorithms, and the number of algorithms that identified them.

Survival genes by algorithms

The number and distribution of survival-related genes identified by four algorithms in disease-free interval

Note: Significant gene percentages less than 0.01% are marked as 0.0%.

Survival genes table

The table provides survival gene symbols with their hazard ratios (red for positive values and blue for negative values), identification of machine learning algorithms, and the number of algorithms that identified them.

Survival genes by algorithms

The number and distribution of survival-related genes identified by four algorithms in disease-specific survival.

Note: Significant gene percentages less than 0.01% are marked as 0.0%.

Survival genes table

The table provides survival gene symbols with their hazard ratios (red for positive values and blue for negative values), identification of machine learning algorithms, and the number of algorithms that identified them.

The Methylation section provides visualizations illustrating the survival-related genes based on their methylation level in a specific cancer type.

Overall summary

Four algorithms identified the survival genes in four survival endpoints. The bar chart and Venn diagram, respectively, display the count and distribution of the survival genes.

Note: Significant gene percentages less than 0.01% are marked as 0.0%.

Summary of survival genes

This section provides the distribution and table of survival genes identified by four algorithms in a specific survival endpoint.

Click the tabs below to switch the results of different survival endpoints.

Survival genes by algorithms

The number and distribution of survival-related genes identified by four algorithms in overall survival.

Note: Significant gene percentages less than 0.01% are marked as 0.0%.

Survival genes table

The table provides survival gene symbols with their hazard ratios (red for positive values and blue for negative values), identification of machine learning algorithms, and the number of algorithms that identified them.

Survival genes by algorithms

The number and distribution of survival-related genes identified by four algorithms in progression-free interval.

Note: Significant gene percentages less than 0.01% are marked as 0.0%.

Survival genes table

The table provides survival gene symbols with their hazard ratios (red for positive values and blue for negative values), identification of machine learning algorithms, and the number of algorithms that identified them.

Survival genes by algorithms

The number and distribution of survival-related genes identified by four algorithms in disease-free interval

Note: Significant gene percentages less than 0.01% are marked as 0.0%.

Survival genes table

The table provides survival gene symbols with their hazard ratios (red for positive values and blue for negative values), identification of machine learning algorithms, and the number of algorithms that identified them.

Survival genes by algorithms

The number and distribution of survival-related genes identified by four algorithms in disease-specific survival.

Note: Significant gene percentages less than 0.01% are marked as 0.0%.

Survival genes table

The table provides survival gene symbols with their hazard ratios (red for positive values and blue for negative values), identification of machine learning algorithms, and the number of algorithms that identified them.

The Multi-omics section provides the results of survival-related genes in all 4-omics levels (RNA, CNV, mutation, and methylation) identified by machine learning algorithms (Lasso, Random forest, and I-Boost).

Summary of machine learning results

Three machine learning algorithms compute the signature results of four survival endpoints. More details of each result can be further viewed in the next section, "Signature results."

Signature results

This section provides the results of the signature in four survival endpoints computed by three machine learning algorithms, including the survival gene table, Kaplan-Meier analysis, and ROC curve or cumulative hazard ratio.

Click on the menu on the left to view the signature results of a specific selected survival endpoint and algorithm.

Genes in signature

Kaplan-Meier analysis

ROC curve

Genes in signature

Kaplan-Meier analysis

ROC curve

Genes in signature

Kaplan-Meier analysis

ROC curve

Genes in signature

Kaplan-Meier analysis

ROC curve

Genes in signature

Kaplan-Meier analysis

ROC curve

Genes in signature

Kaplan-Meier analysis

ROC curve

Genes in signature

Kaplan-Meier analysis

ROC curve

Genes in signature

Kaplan-Meier analysis

ROC curve

Genes in signature

Kaplan-Meier analysis

Cumulative hazard ratio

Genes in signature

Kaplan-Meier analysis

Cumulative hazard ratio

Genes in signature

Kaplan-Meier analysis

Cumulative hazard ratio

Genes in signature

Kaplan-Meier analysis

Cumulative hazard ratio

Gene distribution of multi-omics analysis

This section provides bar charts integrating the number of genes of four omics selected by three machine learning algorithms in four survival endpoints and the table displaying gene symbols with their identification by machine learning algorithms.

SurvOmics: a multi-omics database for cancer survival analysis

Example : Lung adenocarcinoma

Most significant survival genes

This section summarizes the survival genes identified from 4 omic levels. The Venn diagram illustrates the number of most significant survival-related genes, and the table lists the gene symbol with log2 hazard ratios (red for positive value; blue for negative value).

Click on a specific color space in the table, and the corresponding Kaplan-Meier plot will pop up.

Multi-omics integrative network

The synergistic effect between the most significant survival genes among multi-omics levels.

Interaction :

Genes in :

Direction :

For Cytoscape

Synergistic survival analysis

Kaplan-Meier curves for a user-selected gene and the related genes in different omics, derived from synergistic effect analysis.

Select the radio button to show KM plot.

Most significant survival functions

The functional annotation of most significant survival genes.

Gene Ontology Analysis

Significant Term

Significant Term

Significant Term

Pathway

The RNA section provides visualizations to illustrate the survival-related genes based on RNA expression in a specific cancer type.

Overall summary

Four algorithms identified the survival genes in four survival endpoints. The bar chart and Venn diagram, respectively, display the count and distribution of the survival genes.

Summary of survival genes

This section provides the distribution and table of survival genes identified by four algorithms in a specific survival endpoint.

Click the tabs below to switch the results of different survival endpoints.

Survival genes by algorithms

The number and distribution of survival-related genes identified by four algorithms in overall survival.

Survival genes table

The table provides survival gene symbols with their hazard ratios (red for positive values and blue for negative values), identification of machine learning algorithms, and the number of algorithms that identified them.

Survival genes by algorithms

The number and distribution of survival-related genes identified by four algorithms in progression-free interval.

Survival genes table

The table provides survival gene symbols with their hazard ratios (red for positive values and blue for negative values), identification of machine learning algorithms, and the number of algorithms that identified them.

Survival genes by algorithms

The number and distribution of survival-related genes identified by four algorithms in disease-free interval.

Survival genes table

The table provides survival gene symbols with their hazard ratios (red for positive values and blue for negative values), identification of machine learning algorithms, and the number of algorithms that identified them.

Survival genes by algorithms

The number and distribution of survival-related genes identified by four algorithms in disease-specific survival.

Survival genes table

The table provides survival gene symbols with their hazard ratios (red for positive values and blue for negative values), identification of machine learning algorithms, and the number of algorithms that identified them.

The CNV section provides visualizations illustrating the survival-related genes based on copy number variation (CNV) gain or loss of coding genes in a specific cancer type.

Overall summary

Four algorithms identified the survival genes in four survival endpoints. The bar chart and Venn diagram, respectively, display the count and distribution of the survival genes.

Summary of survival genes

This section provides the distribution and table of survival genes identified by four algorithms in a specific survival endpoint.

Click the tabs below to switch the results of different survival endpoints.

Survival genes by algorithms

The number and distribution of survival-related genes identified by four algorithms in overall survival.

Survival genes table

The table provides survival gene symbols with their hazard ratios (red for positive values and blue for negative values), identification of machine learning algorithms, and the number of algorithms that identified them.

Survival genes by algorithms

The number and distribution of survival-related genes identified by four algorithms in progression-free interval.

Survival genes table

The table provides survival gene symbols with their hazard ratios (red for positive values and blue for negative values), identification of machine learning algorithms, and the number of algorithms that identified them.

Survival genes by algorithms

The number and distribution of survival-related genes identified by four algorithms in disease-free interval

Survival genes table

The table provides survival gene symbols with their hazard ratios (red for positive values and blue for negative values), identification of machine learning algorithms, and the number of algorithms that identified them.

Survival genes by algorithms

The number and distribution of survival-related genes identified by four algorithms in disease-specific survival.

Survival genes table

The table provides survival gene symbols with their hazard ratios (red for positive values and blue for negative values), identification of machine learning algorithms, and the number of algorithms that identified them.

The Mutation section provides visualizations illustrating the survival-related genes based on mutation status in a specific cancer type.

Overall summary

Four algorithms identified the survival genes in four survival endpoints. The bar chart and Venn diagram, respectively, display the count and distribution of the survival genes.

Summary of survival genes

This section provides the distribution and table of survival genes identified by four algorithms in a specific survival endpoint.

Click the tabs below to switch the results of different survival endpoints.

Survival genes by algorithms

The number and distribution of survival-related genes identified by four algorithms in overall survival.

Survival genes table

The table provides survival gene symbols with their hazard ratios (red for positive values and blue for negative values), identification of machine learning algorithms, and the number of algorithms that identified them.

Survival genes by algorithms

The number and distribution of survival-related genes identified by four algorithms in progression-free interval.

Survival genes table

The table provides survival gene symbols with their hazard ratios (red for positive values and blue for negative values), identification of machine learning algorithms, and the number of algorithms that identified them.

Survival genes by algorithms