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Fig. 1 | BMC Medical Genomics

Fig. 1

From: A novel proteomic-based model for predicting colorectal cancer with Schistosoma japonicum co‐infection by integrated bioinformatics analysis and machine learning

Fig. 1

Quality control in proteomics experiments. (A) The length distribution of most peptides detected by mass spectrometry falls within 7–27 amino acids. (B) Over 99% of proteins are multi-peptide proteins. (C) Pearson correlation analysis shows good reproducibility among samples. (D) Hierarchical clustering analysis of samples. (E) Using hierarchical clustering analysis, individual samples can be classified into different population groups. (F) The quantitative heatmap of differentially expressed proteins

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BMC Medical Genomics

ISSN: 1755-8794

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