Yangxiu Wu
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View article: Supplementary Figure 9 from Federated Deep Learning Enables Cancer Subtyping by Proteomics
Supplementary Figure 9 from Federated Deep Learning Enables Cancer Subtyping by Proteomics Open
Feature importance for selected proteins with utility at distinguishing cancer subtypes
View article: Table S4 from Federated Deep Learning Enables Cancer Subtyping by Proteomics
Table S4 from Federated Deep Learning Enables Cancer Subtyping by Proteomics Open
Per class AUROC using ProCan Compendium and external datasets
View article: Supplementary Figure 11 from Federated Deep Learning Enables Cancer Subtyping by Proteomics
Supplementary Figure 11 from Federated Deep Learning Enables Cancer Subtyping by Proteomics Open
Pathway analysis of top SHAP-ranked proteins across cancer subtypes
View article: Supplementary Figure 10 from Federated Deep Learning Enables Cancer Subtyping by Proteomics
Supplementary Figure 10 from Federated Deep Learning Enables Cancer Subtyping by Proteomics Open
Cell type enrichment analysis of top SHAP-ranked proteins across cancer subtypes
View article: Table S5 from Federated Deep Learning Enables Cancer Subtyping by Proteomics
Table S5 from Federated Deep Learning Enables Cancer Subtyping by Proteomics Open
Feature importance for cancer subtype prediction using SHAP.
View article: Table S2 from Federated Deep Learning Enables Cancer Subtyping by Proteomics
Table S2 from Federated Deep Learning Enables Cancer Subtyping by Proteomics Open
Per class AUROC for models using ProCan Compendium
View article: Supplementary Figure 2 from Federated Deep Learning Enables Cancer Subtyping by Proteomics
Supplementary Figure 2 from Federated Deep Learning Enables Cancer Subtyping by Proteomics Open
Overview of Cohort 1
View article: Supplementary Figure 8 from Federated Deep Learning Enables Cancer Subtyping by Proteomics
Supplementary Figure 8 from Federated Deep Learning Enables Cancer Subtyping by Proteomics Open
Effects of adding external datasets
View article: Supplementary Figure 7 from Federated Deep Learning Enables Cancer Subtyping by Proteomics
Supplementary Figure 7 from Federated Deep Learning Enables Cancer Subtyping by Proteomics Open
ProCanFDL with external datasets
View article: Supplementary Figure 3 from Federated Deep Learning Enables Cancer Subtyping by Proteomics
Supplementary Figure 3 from Federated Deep Learning Enables Cancer Subtyping by Proteomics Open
Distributions of Cancer Subtypes in Cohort 1 and ProCan Compendium for ProCanFDL
View article: Supplementary Figure 1 from Federated Deep Learning Enables Cancer Subtyping by Proteomics
Supplementary Figure 1 from Federated Deep Learning Enables Cancer Subtyping by Proteomics Open
Overview of ProCan Compendium
View article: Supplementary Figure 6 from Federated Deep Learning Enables Cancer Subtyping by Proteomics
Supplementary Figure 6 from Federated Deep Learning Enables Cancer Subtyping by Proteomics Open
ProCanFDL of ProCan Compendium
View article: Supplementary Figure 5 from Federated Deep Learning Enables Cancer Subtyping by Proteomics
Supplementary Figure 5 from Federated Deep Learning Enables Cancer Subtyping by Proteomics Open
Sample sizes of Sites 1-4 across ten experiments
View article: Supplementary Figure 4 from Federated Deep Learning Enables Cancer Subtyping by Proteomics
Supplementary Figure 4 from Federated Deep Learning Enables Cancer Subtyping by Proteomics Open
Distribution of cancer subtypes across Sites 2-4 and Experiments 1-10
View article: Supplementary Figure 12 from Federated Deep Learning Enables Cancer Subtyping by Proteomics
Supplementary Figure 12 from Federated Deep Learning Enables Cancer Subtyping by Proteomics Open
Protein overlap between global and local models based on SHAP rankings
View article: Supplementary Figure 13 from Federated Deep Learning Enables Cancer Subtyping by Proteomics
Supplementary Figure 13 from Federated Deep Learning Enables Cancer Subtyping by Proteomics Open
SHAP values of antibody drug conjugate targets across cancer subtypes
View article: Data from Federated Deep Learning Enables Cancer Subtyping by Proteomics
Data from Federated Deep Learning Enables Cancer Subtyping by Proteomics Open
Artificial intelligence applications in biomedicine face major challenges from data privacy requirements. To address this issue for clinically annotated tissue proteomic data, we developed a federated deep learning approach (ProCanFDL), tr…
View article: Table S1 from Federated Deep Learning Enables Cancer Subtyping by Proteomics
Table S1 from Federated Deep Learning Enables Cancer Subtyping by Proteomics Open
Cohort details of ProCan Compendium
View article: Table S3 from Federated Deep Learning Enables Cancer Subtyping by Proteomics
Table S3 from Federated Deep Learning Enables Cancer Subtyping by Proteomics Open
Per class AUROC for models using ProCan Compendium
View article: Federated Deep Learning Enables Cancer Subtyping by Proteomics
Federated Deep Learning Enables Cancer Subtyping by Proteomics Open
Artificial intelligence applications in biomedicine face major challenges from data privacy requirements. To address this issue for clinically annotated tissue proteomic data, we developed a federated deep learning approach (ProCanFDL), tr…
View article: Federated deep learning enables cancer subtyping by proteomics
Federated deep learning enables cancer subtyping by proteomics Open
Artificial intelligence applications in biomedicine face major challenges from data privacy requirements. To address this issue for clinically annotated tissue proteomic data, we developed a Federated Deep Learning (FDL) approach (ProCanFD…
View article: Pan-cancer proteomic map of 949 human cell lines
Pan-cancer proteomic map of 949 human cell lines Open
The proteome provides unique insights into disease biology beyond the genome and transcriptome. A lack of large proteomic datasets has restricted the identification of new cancer biomarkers. Here, proteomes of 949 cancer cell lines across …
View article: Pan-cancer proteomic map of 949 human cell lines reveals principles of cancer vulnerabilities
Pan-cancer proteomic map of 949 human cell lines reveals principles of cancer vulnerabilities Open
Summary The proteome provides unique insights into biology and disease beyond the genome and transcriptome. Lack of large proteomic datasets has restricted identification of new cancer biomarkers. Here, proteomes of 949 cancer cell lines a…
View article: Pan-cancer proteomic map of 949 human cell lines
Pan-cancer proteomic map of 949 human cell lines Open
The proteome provides unique insights into biology and disease beyond the genome and transcriptome. Lack of large proteomic datasets has restricted identification of new cancer biomarkers. Here, proteomes of 949 cancer cell lines across 28…
View article: Role of POT1 in Human Cancer
Role of POT1 in Human Cancer Open
Telomere abnormalities facilitate cancer development by contributing to genomic instability and cellular immortalization. The Protection of Telomeres 1 (POT1) protein is an essential subunit of the shelterin telomere binding complex. It di…
View article: Shwachman-Diamond Syndrome Protein SBDS Maintains Human Telomeres by Regulating Telomerase Recruitment
Shwachman-Diamond Syndrome Protein SBDS Maintains Human Telomeres by Regulating Telomerase Recruitment Open
View article: Cold-inducible RNA-binding protein CIRP/hnRNP A18 regulates telomerase activity in a temperature-dependent manner
Cold-inducible RNA-binding protein CIRP/hnRNP A18 regulates telomerase activity in a temperature-dependent manner Open
The telomerase is responsible for adding telomeric repeats to chromosomal ends and consists of the reverse transcriptase TERT and the RNA subunit TERC. The expression and activity of the telomerase are tightly regulated, and aberrant activ…