Parsimonious Gene Correlation Network Analysis (PGCNA): a tool to define modular gene co-expression for refined molecular stratification in cancer.

Shared data

Cancer Module Overlaps.

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BRCA networks

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Correlations

BRCA Individual Gene Correlations

Networks

Note: networks take time to load, please be patient.

BRCA: Coloured By Module

Meta Information Networks

BRCA: Coloured By Cluster Stability

BRCA: Coloured By Percentile Expression

BRCA: Coloured By Survival Hazard Ratio

BRCA: Coloured By Variance Across data-sets

BRCA: Coloured By Variance Within data-sets

Module Expression Value (MEV) genes

BRCA: Coloured By : MEV-25 Genes

BRCA: Coloured By : MEV-25 Genes (With Indirect)

Sub-clustering

BRCA Coloured By Module — Sub-clustering BRCA_M6

BRCA: Coloured By Module — Sub-clustering BRCA_M14

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BRCA: Coloured By Module — Sub-clustering BRCA_M18, M20, M29, M34

Meta Information

Breast Cancer MF8 Meta information.

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CRC networks

Correlations

CRC Individual Gene Correlations

Networks

Note: networks take time to load, please be patient.

CRC: Coloured By Module

Meta Information Networks

CRC: Coloured By Cluster Stability

CRC: Coloured By Percentile Expression

CRC: Coloured By Survival Hazard Ratio

CRC: Coloured By Variance Across data-sets

CRC: Coloured By Variance Within data-sets

Module Expression Value (MEV) genes

CRC: Coloured By : MEV-25 Genes

CRC: Coloured By : MEV-25 Genes (With Indirect)

Sub-clustering

CRC: Coloured By Module — Sub-clustering CRC_M3

CRC: Coloured By Module — Sub-clustering CRC_M7

Meta Information

Colon Cancer MF3 Meta information.