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Authors whose works are in public domain in at least one jurisdiction

List of works by Anna deFazio

Identification of a Locus Near <i>ULK1</i> Associated With Progression-Free Survival in Ovarian Cancer

publication published on 23 June 2021

Data from Gene-Expression Profiling of Mucinous Ovarian Tumors and Comparison with Upper and Lower Gastrointestinal Tumors Identifies Markers Associated with Adverse Outcomes

Data from Gene-Expression Profiling of Mucinous Ovarian Tumors and Comparison with Upper and Lower Gastrointestinal Tumors Identifies Markers Associated with Adverse Outcomes

Online Supplementary Materials from A Transcriptome-Wide Association Study Among 97,898 Women to Identify Candidate Susceptibility Genes for Epithelial Ovarian Cancer Risk

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

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

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

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

Supplementary Figure 3 from Federated Deep Learning Enables Cancer Subtyping by Proteomics

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

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

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

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

Supplementary Figures S1-S13 from Gene-Expression Profiling of Mucinous Ovarian Tumors and Comparison with Upper and Lower Gastrointestinal Tumors Identifies Markers Associated with Adverse Outcomes

Supplementary Figures S1-S13 from Gene-Expression Profiling of Mucinous Ovarian Tumors and Comparison with Upper and Lower Gastrointestinal Tumors Identifies Markers Associated with Adverse Outcomes

Supplementary Methods 1 from Gene-Expression Profiling of Mucinous Ovarian Tumors and Comparison with Upper and Lower Gastrointestinal Tumors Identifies Markers Associated with Adverse Outcomes

Supplementary Methods 1 from Gene-Expression Profiling of Mucinous Ovarian Tumors and Comparison with Upper and Lower Gastrointestinal Tumors Identifies Markers Associated with Adverse Outcomes

Supplementary Tables S1-S11 from Gene-Expression Profiling of Mucinous Ovarian Tumors and Comparison with Upper and Lower Gastrointestinal Tumors Identifies Markers Associated with Adverse Outcomes

Supplementary Tables S1-S11 from Gene-Expression Profiling of Mucinous Ovarian Tumors and Comparison with Upper and Lower Gastrointestinal Tumors Identifies Markers Associated with Adverse Outcomes

Table S1 from A Transcriptome-Wide Association Study Among 97,898 Women to Identify Candidate Susceptibility Genes for Epithelial Ovarian Cancer Risk

Table S1 from Federated Deep Learning Enables Cancer Subtyping by Proteomics

Table S2 from A Transcriptome-Wide Association Study Among 97,898 Women to Identify Candidate Susceptibility Genes for Epithelial Ovarian Cancer Risk

Table S2 from A Transcriptome-Wide Association Study Among 97,898 Women to Identify Candidate Susceptibility Genes for Epithelial Ovarian Cancer Risk

Table S3 from A Transcriptome-Wide Association Study Among 97,898 Women to Identify Candidate Susceptibility Genes for Epithelial Ovarian Cancer Risk

Table S3 from Federated Deep Learning Enables Cancer Subtyping by Proteomics

Table S5 from Federated Deep Learning Enables Cancer Subtyping by Proteomics