Strategies to enable large-scale proteomics for reproducible research

scientific article published on 30 July 2020

Supplementary Data from A Proteomic Signature for Human Papillomavirus–Associated Oropharyngeal Squamous Cell Carcinoma Predicts Patients at High Risk of Recurrence

Supplementary Figure 13 from Mapping the Proteomic Landscape of Pancreatic Cancer: Prognostic Insights and Subtype Stratification

Supplementary Figure 1 from Mapping the Proteomic Landscape of Pancreatic Cancer: Prognostic Insights and Subtype Stratification

Supplementary Data from A Proteomic Signature for Human Papillomavirus–Associated Oropharyngeal Squamous Cell Carcinoma Predicts Patients at High Risk of Recurrence

Tables S1-S3 from A Proteomic Signature for Human Papillomavirus–Associated Oropharyngeal Squamous Cell Carcinoma Predicts Patients at High Risk of Recurrence

Supplementary Figure 7 from Mapping the Proteomic Landscape of Pancreatic Cancer: Prognostic Insights and Subtype Stratification

Supplementary Figure 9 from Mapping the Proteomic Landscape of Pancreatic Cancer: Prognostic Insights and Subtype Stratification

Supplementary Table 4 from Mapping the Proteomic Landscape of Pancreatic Cancer: Prognostic Insights and Subtype Stratification

Figure 1 from Mapping the Proteomic Landscape of Pancreatic Cancer: Prognostic Insights and Subtype Stratification

A Proteomic Signature for Human Papillomavirus–Associated Oropharyngeal Squamous Cell Carcinoma Predicts Patients at High Risk of Recurrence

Data from Mapping the Proteomic Landscape of Pancreatic Cancer: Prognostic Insights and Subtype Stratification

Figure 2 from Mapping the Proteomic Landscape of Pancreatic Cancer: Prognostic Insights and Subtype Stratification

Supplementary Figure 16 from Mapping the Proteomic Landscape of Pancreatic Cancer: Prognostic Insights and Subtype Stratification

Supplementary Figure 8 from Mapping the Proteomic Landscape of Pancreatic Cancer: Prognostic Insights and Subtype Stratification

List of APGI Researchers from Mapping the Proteomic Landscape of Pancreatic Cancer: Prognostic Insights and Subtype Stratification

Supplementary Table 8 from Mapping the Proteomic Landscape of Pancreatic Cancer: Prognostic Insights and Subtype Stratification

Supplementary Figure 11 from Federated Deep Learning Enables Cancer Subtyping by Proteomics

Supplementary Figure 2 from Federated Deep Learning Enables Cancer Subtyping by Proteomics

Figure S6 from A Proteomic Signature for Human Papillomavirus–Associated Oropharyngeal Squamous Cell Carcinoma Predicts Patients at High Risk of Recurrence

Figure 4 from Mapping the Proteomic Landscape of Pancreatic Cancer: Prognostic Insights and Subtype Stratification

Supplementary Figure 14 from Mapping the Proteomic Landscape of Pancreatic Cancer: Prognostic Insights and Subtype Stratification

Figure 3 from Mapping the Proteomic Landscape of Pancreatic Cancer: Prognostic Insights and Subtype Stratification

Data from A Proteomic Signature for Human Papillomavirus–Associated Oropharyngeal Squamous Cell Carcinoma Predicts Patients at High Risk of Recurrence

Figure 1 from A Proteomic Signature for Human Papillomavirus–Associated Oropharyngeal Squamous Cell Carcinoma Predicts Patients at High Risk of Recurrence

Table 2 from A Proteomic Signature for Human Papillomavirus–Associated Oropharyngeal Squamous Cell Carcinoma Predicts Patients at High Risk of Recurrence

Supplementary Figure 8 from Federated Deep Learning Enables Cancer Subtyping by Proteomics

Supplementary Figure 5 from Federated Deep Learning Enables Cancer Subtyping by Proteomics

Supplementary Figure 2 from Mapping the Proteomic Landscape of Pancreatic Cancer: Prognostic Insights and Subtype Stratification

Supplementary Figure 6 from Federated Deep Learning Enables Cancer Subtyping by Proteomics

Figure 6 from A Proteomic Signature for Human Papillomavirus–Associated Oropharyngeal Squamous Cell Carcinoma Predicts Patients at High Risk of Recurrence

Supplementary Figure 4 from Federated Deep Learning Enables Cancer Subtyping by Proteomics

Supplementary Figure 12 from Federated Deep Learning Enables Cancer Subtyping by Proteomics

Figure S5 from A Proteomic Signature for Human Papillomavirus–Associated Oropharyngeal Squamous Cell Carcinoma Predicts Patients at High Risk of Recurrence

Federated Deep Learning Enables Cancer Subtyping by Proteomics

Supplementary Data 2 from Mapping the Proteomic Landscape of Pancreatic Cancer: Prognostic Insights and Subtype Stratification

Figure S2 from A Proteomic Signature for Human Papillomavirus–Associated Oropharyngeal Squamous Cell Carcinoma Predicts Patients at High Risk of Recurrence

Table S1 from Federated Deep Learning Enables Cancer Subtyping by Proteomics

Supplementary Table 7 from Mapping the Proteomic Landscape of Pancreatic Cancer: Prognostic Insights and Subtype Stratification

Table 2 from Mapping the Proteomic Landscape of Pancreatic Cancer: Prognostic Insights and Subtype Stratification

Figure S2 from A Proteomic Signature for Human Papillomavirus–Associated Oropharyngeal Squamous Cell Carcinoma Predicts Patients at High Risk of Recurrence

Figure 5 from A Proteomic Signature for Human Papillomavirus–Associated Oropharyngeal Squamous Cell Carcinoma Predicts Patients at High Risk of Recurrence

Figure S4 from A Proteomic Signature for Human Papillomavirus–Associated Oropharyngeal Squamous Cell Carcinoma Predicts Patients at High Risk of Recurrence

Figure S1 from A Proteomic Signature for Human Papillomavirus–Associated Oropharyngeal Squamous Cell Carcinoma Predicts Patients at High Risk of Recurrence

Table 1 from Mapping the Proteomic Landscape of Pancreatic Cancer: Prognostic Insights and Subtype Stratification

Supplementary Figure 10 from Federated Deep Learning Enables Cancer Subtyping by Proteomics

Mapping the Proteomic Landscape of Pancreatic Cancer: Prognostic Insights and Subtype Stratification

Figure S4 from A Proteomic Signature for Human Papillomavirus–Associated Oropharyngeal Squamous Cell Carcinoma Predicts Patients at High Risk of Recurrence

Supplementary Table 2 from Mapping the Proteomic Landscape of Pancreatic Cancer: Prognostic Insights and Subtype Stratification

Heat ‘n Beat: A universal high-throughput end-to-end proteomics sample processing platform in under an hour