Additional file 4 of Machine learning-identified stemness features and constructed stemness-related subtype with prognosis, chemotherapy, and immunotherapy responses for non-small cell lung cancer patients
Additional file 4. Figure S3: The process of stemness subtype construction. (A) Consistency matrix plot showing clustering at K=2, which is the optimal number of clusters. (B) CDF plot showing the consensus distributions for each K, K=2-9. (C) Delta area showing the relative change in stability, K=2...
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| creator | Liu, Mingshan Zhou, Ruihao Zou, Wei Yang, Zhuofan Li, Quanjin Chen, Zhiguo jiang, Lei Zhang, Jingtao |
| description | Additional file 4. Figure S3: The process of stemness subtype construction. (A) Consistency matrix plot showing clustering at K=2, which is the optimal number of clusters. (B) CDF plot showing the consensus distributions for each K, K=2-9. (C) Delta area showing the relative change in stability, K=2-9. (D) Heat map showing the expression of 217 DEGs, red indicates high expression and green indicates low expression. The top of the heat map shows the mRNAsi, TCGA subtype and immune subtype for each patient. |
| doi_str_mv | 10.6084/m9.figshare.24098263 |
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Figure S3: The process of stemness subtype construction. (A) Consistency matrix plot showing clustering at K=2, which is the optimal number of clusters. (B) CDF plot showing the consensus distributions for each K, K=2-9. (C) Delta area showing the relative change in stability, K=2-9. (D) Heat map showing the expression of 217 DEGs, red indicates high expression and green indicates low expression. 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Figure S3: The process of stemness subtype construction. (A) Consistency matrix plot showing clustering at K=2, which is the optimal number of clusters. (B) CDF plot showing the consensus distributions for each K, K=2-9. (C) Delta area showing the relative change in stability, K=2-9. (D) Heat map showing the expression of 217 DEGs, red indicates high expression and green indicates low expression. The top of the heat map shows the mRNAsi, TCGA subtype and immune subtype for each patient.</abstract><pub>figshare</pub><doi>10.6084/m9.figshare.24098263</doi><oa>free_for_read</oa></addata></record> |
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| title | Additional file 4 of Machine learning-identified stemness features and constructed stemness-related subtype with prognosis, chemotherapy, and immunotherapy responses for non-small cell lung cancer patients |
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