Dataset 1. Gene co-expression network data. It contains network nodes, weighted network and list of hubs. Dataset 2. qPCR data from independent validation, including MIQE and additional information. Dataset 3. Supplementary Figures. Legends are included under each figure. Dataset 4. Full qPCR data (including raw Cq values)
Background: Cancer patients often show no or only modest benefit from a given therapy. This major pr...
Background: Cancer patients often show no or only modest benefit from a given therapy. This major pr...
Background: Cancer patients often show no or only modest benefit from a given therapy. This major pr...
Dataset 1. Gene co-expression network data. It contains network nodes, weighted network and list of ...
Supplementary Information Article: Hub genes in a pan-cancer co-expression network show potential f...
Background: The topological analysis of networks extracted from different types of “omics” data is a...
Breast cancer is one of the most common malignancies. The molecular mechanisms of its pathogenesis a...
Breast cancer is one of the most common malignancies. The molecular mechanisms of its pathogenesis a...
Many diseases, such as cardiovascular diseases, cancer and diabetes, originate from several malfunct...
Many diseases, such as cardiovascular diseases, cancer and diabetes, originate from several malfunct...
Many diseases, such as cardiovascular diseases, cancer and diabetes, originate from several malfunct...
Breast cancer is one of the most common malignancies. The molecular mechanisms of its pathogenesis a...
BACKGROUND: Hub transcription factors, regulating many target genes in gene regulatory networks (GRN...
<div><p>Gene co-expression network analysis is an effective method for predicting gene functions and...
Background: Cancer patients often show no or only modest benefit from a given therapy. This major pr...
Background: Cancer patients often show no or only modest benefit from a given therapy. This major pr...
Background: Cancer patients often show no or only modest benefit from a given therapy. This major pr...
Background: Cancer patients often show no or only modest benefit from a given therapy. This major pr...
Dataset 1. Gene co-expression network data. It contains network nodes, weighted network and list of ...
Supplementary Information Article: Hub genes in a pan-cancer co-expression network show potential f...
Background: The topological analysis of networks extracted from different types of “omics” data is a...
Breast cancer is one of the most common malignancies. The molecular mechanisms of its pathogenesis a...
Breast cancer is one of the most common malignancies. The molecular mechanisms of its pathogenesis a...
Many diseases, such as cardiovascular diseases, cancer and diabetes, originate from several malfunct...
Many diseases, such as cardiovascular diseases, cancer and diabetes, originate from several malfunct...
Many diseases, such as cardiovascular diseases, cancer and diabetes, originate from several malfunct...
Breast cancer is one of the most common malignancies. The molecular mechanisms of its pathogenesis a...
BACKGROUND: Hub transcription factors, regulating many target genes in gene regulatory networks (GRN...
<div><p>Gene co-expression network analysis is an effective method for predicting gene functions and...
Background: Cancer patients often show no or only modest benefit from a given therapy. This major pr...
Background: Cancer patients often show no or only modest benefit from a given therapy. This major pr...
Background: Cancer patients often show no or only modest benefit from a given therapy. This major pr...
Background: Cancer patients often show no or only modest benefit from a given therapy. This major pr...