<p>(A) All cancer; (B) Breast cancer, (C) Lung cancer; (D) Gastric cancer and (E) Colon cancer. Black triangles mark normal controls, while the white circle marks each cancer group.</p
<p>(A) The percent variability explained by each principal component (<a href="http://www.plosone.or...
PurposeTo demonstrate unique information potential of a powerful multivariate data processing method...
<p>Cancer subjects are labelled in red, controls in blue and QCs in green. The vector from diamond t...
<p>A: all individuals from Stage I and HapMap; B: breast cancer cases and controls from Stage I.</p
<p>The black circles show the sample data projected onto the first and second principal components. ...
A. Samples distribution using all SNVs identified in the B-cell lymphomas (BCL) versus control panel...
<p>a. In the discovery dataset, the 5 tumor and 1 control methylation classes were represented by th...
Duplicate biological samples of matched normal and cancerous colon tissue from five anonymized patie...
<p>(A) Intersection of PFPCs between normal and cancer breast tissues. (B) Intersection of PFPCs bet...
<p>PCA plot depicting the variance between the gastric cancer spheroids and normal gastric spheroids...
<p>A, PCA score plot showing the discrimination between cancer and benign epithelium in the discover...
<p>PCoA based on Weighted UniFrac distance between samples given abundance of 12 OTUs. Axis 1 (PCoA1...
<p><b>Copyright information:</b></p><p>Taken from "Distinct evolutionary mechanisms for genomic imba...
<p>Polar plot visualization as novel quantitative and contextual representation of M-scores, new Met...
<p>Each circle corresponds to one tissue type (1- brain cancer (pediatric medulloblastoma), 2- breas...
<p>(A) The percent variability explained by each principal component (<a href="http://www.plosone.or...
PurposeTo demonstrate unique information potential of a powerful multivariate data processing method...
<p>Cancer subjects are labelled in red, controls in blue and QCs in green. The vector from diamond t...
<p>A: all individuals from Stage I and HapMap; B: breast cancer cases and controls from Stage I.</p
<p>The black circles show the sample data projected onto the first and second principal components. ...
A. Samples distribution using all SNVs identified in the B-cell lymphomas (BCL) versus control panel...
<p>a. In the discovery dataset, the 5 tumor and 1 control methylation classes were represented by th...
Duplicate biological samples of matched normal and cancerous colon tissue from five anonymized patie...
<p>(A) Intersection of PFPCs between normal and cancer breast tissues. (B) Intersection of PFPCs bet...
<p>PCA plot depicting the variance between the gastric cancer spheroids and normal gastric spheroids...
<p>A, PCA score plot showing the discrimination between cancer and benign epithelium in the discover...
<p>PCoA based on Weighted UniFrac distance between samples given abundance of 12 OTUs. Axis 1 (PCoA1...
<p><b>Copyright information:</b></p><p>Taken from "Distinct evolutionary mechanisms for genomic imba...
<p>Polar plot visualization as novel quantitative and contextual representation of M-scores, new Met...
<p>Each circle corresponds to one tissue type (1- brain cancer (pediatric medulloblastoma), 2- breas...
<p>(A) The percent variability explained by each principal component (<a href="http://www.plosone.or...
PurposeTo demonstrate unique information potential of a powerful multivariate data processing method...
<p>Cancer subjects are labelled in red, controls in blue and QCs in green. The vector from diamond t...
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