<p>In the figure, each microRNA corresponds to a row, and each breast cancer sample corresponds to column. The 71 breast cancer samples were divided into five subtypes (Subtype 1, Subtype 2, Subtype 3, Subtype 4 and Subtype 5). Red areas indicate increased expression, and green areas decreased expression. Each column represents a single breast cancer sample, and each row represents a single microRNA. The dendrogram at the top shows the degree to which each breast cancer subtype is related to the others with respect to microRNA expression.</p
a) As in previous figures, the star indicates the significant cell types after Bonferroni correction...
Motivation: Subtyping cancer is key to an improved and more personalized prognosis/treatment. The in...
Microarrays offer biologists an exciting tool that allows the simultaneous assessment of gene expres...
SINCE the advent of array-based technology and the sequencing of the human genome, scientistsattempt...
Background Breast cancer is a heterogeneous disease at the clinical and molecular level. In this stu...
* Joint first authors We describe a new method based on principal component analysis and robust cons...
Abstract Breast cancer is heterogeneous in prognoses and drug responses. To organize breast cancers ...
It is now accepted that breast cancer is not a single disease, but instead it is composed of a spect...
PURPOSE: Recent small-sized genomic studies on the identification of breast cancer bioprofiles have ...
<p>A) First two principal components derived from RefSeq gene RNAseq FPKM expression levels. As expe...
<p>The breast tumors were classified into two dominant clusters based on similarities in expression ...
<p>Each row represents a miRNA and each column represents a sample. The “C” columns at the bottom re...
<p>(A) Heatmap of expression, with yellow indicating high and blue indicating low, relative to the m...
<p>Hierarchical clustering of the 41 miRNAs with a significantly different expression. Rows, individ...
<p>A) First two principal components derived from RefSeq gene RNAseq FPKM expression levels for mult...
a) As in previous figures, the star indicates the significant cell types after Bonferroni correction...
Motivation: Subtyping cancer is key to an improved and more personalized prognosis/treatment. The in...
Microarrays offer biologists an exciting tool that allows the simultaneous assessment of gene expres...
SINCE the advent of array-based technology and the sequencing of the human genome, scientistsattempt...
Background Breast cancer is a heterogeneous disease at the clinical and molecular level. In this stu...
* Joint first authors We describe a new method based on principal component analysis and robust cons...
Abstract Breast cancer is heterogeneous in prognoses and drug responses. To organize breast cancers ...
It is now accepted that breast cancer is not a single disease, but instead it is composed of a spect...
PURPOSE: Recent small-sized genomic studies on the identification of breast cancer bioprofiles have ...
<p>A) First two principal components derived from RefSeq gene RNAseq FPKM expression levels. As expe...
<p>The breast tumors were classified into two dominant clusters based on similarities in expression ...
<p>Each row represents a miRNA and each column represents a sample. The “C” columns at the bottom re...
<p>(A) Heatmap of expression, with yellow indicating high and blue indicating low, relative to the m...
<p>Hierarchical clustering of the 41 miRNAs with a significantly different expression. Rows, individ...
<p>A) First two principal components derived from RefSeq gene RNAseq FPKM expression levels for mult...
a) As in previous figures, the star indicates the significant cell types after Bonferroni correction...
Motivation: Subtyping cancer is key to an improved and more personalized prognosis/treatment. The in...
Microarrays offer biologists an exciting tool that allows the simultaneous assessment of gene expres...