B) 1-Pearson correlation distances among 7 normal samples, meta- or synchronous tumors from 12 patients, and 36 unique T1 tumors estimated from expression data obtained from 36k oligonucleotide platform. The calculation of distances among meta- and synchronous is based on distances among tumors originating from the same patients.<p><b>Copyright information:</b></p><p>Taken from "Recurrent and multiple bladder tumors show conserved expression profiles"</p><p>http://www.biomedcentral.com/1471-2407/8/183</p><p>BMC Cancer 2008;8():183-183.</p><p>Published online 30 Jun 2008</p><p>PMCID:PMC2483988.</p><p></p
<p>The median genetic distance between sequences from the same patient was 1.5% (95% range: 0.1% to ...
<p>Spatial correlations of expression levels of genes in increasing chromosomal order up to ten were...
Cluster analysis is usually the first step adopted to unveil information from gene expression data. ...
B) HCA of 38 meta- or synchronous tumors from 17 patients, 91 unique tumors, and 7 normal samples hy...
<p>(a) The relationship between the fraction of tumor sampled and time to the most recent common anc...
<p><b>A.</b> The columns show the histogram of distribution of the Pearson’s correlation coefficient...
<p>A. CpG density of the differentially methylated promoters. Normalized CpG density is the density ...
<p><b>Real</b>: boxplot of methylome distances for all matched pairs that is a PT and its correspond...
<p>Nucleotide Distance Calculations with panmixia and Slatkin-Maddison (SM) probabilities for experi...
<p>Distribution of distances (in nt) for 568 cases where a predicted σ<sup>70</sup>-promoter (genome...
<p>1. To characterize the discrepancy of gene expression pattern in cancer condition vs. normal cond...
Metachronous (MBC) and synchronous bilateral breast tumors (SBC) are mostly distinct primaries, wher...
With the rapid accumulation of biological omics datasets, decoding the underlying relationships of c...
Our intention is to find similarity among the time series expressions of the genes in microarray exp...
<p>Pearson correlation was performed between all samples, and Euclidean distances were calculated. U...
<p>The median genetic distance between sequences from the same patient was 1.5% (95% range: 0.1% to ...
<p>Spatial correlations of expression levels of genes in increasing chromosomal order up to ten were...
Cluster analysis is usually the first step adopted to unveil information from gene expression data. ...
B) HCA of 38 meta- or synchronous tumors from 17 patients, 91 unique tumors, and 7 normal samples hy...
<p>(a) The relationship between the fraction of tumor sampled and time to the most recent common anc...
<p><b>A.</b> The columns show the histogram of distribution of the Pearson’s correlation coefficient...
<p>A. CpG density of the differentially methylated promoters. Normalized CpG density is the density ...
<p><b>Real</b>: boxplot of methylome distances for all matched pairs that is a PT and its correspond...
<p>Nucleotide Distance Calculations with panmixia and Slatkin-Maddison (SM) probabilities for experi...
<p>Distribution of distances (in nt) for 568 cases where a predicted σ<sup>70</sup>-promoter (genome...
<p>1. To characterize the discrepancy of gene expression pattern in cancer condition vs. normal cond...
Metachronous (MBC) and synchronous bilateral breast tumors (SBC) are mostly distinct primaries, wher...
With the rapid accumulation of biological omics datasets, decoding the underlying relationships of c...
Our intention is to find similarity among the time series expressions of the genes in microarray exp...
<p>Pearson correlation was performed between all samples, and Euclidean distances were calculated. U...
<p>The median genetic distance between sequences from the same patient was 1.5% (95% range: 0.1% to ...
<p>Spatial correlations of expression levels of genes in increasing chromosomal order up to ten were...
Cluster analysis is usually the first step adopted to unveil information from gene expression data. ...