Supplementary Table S4 from Blood-Based Diagnosis and Risk Stratification of Patients with Pancreatic Intraductal Papillary Mucinous Neoplasm (IPMN)
<p>Normalized signal intensity variations obtained on the antibody microarray.</p>
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , , , , , , , , , , , |
| منشور في: |
2025
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| الموضوعات: | |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
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| _version_ | 1849927633703272448 |
|---|---|
| author | Chaoyang Zhang (15051876) |
| author2 | Fawaz N. Al-Shaheri (15051879) Mohamed Saiel Saeed Alhamdani (15051882) Andrea S. Bauer (15051885) Jörg D. Hoheisel (15051888) Miriam Schenk (15051891) Ulf Hinz (15051894) Philipp Goedecke (15051897) Karam Al-Halabi (15051900) Markus W. Büchler (15051903) Nathalia A. Giese (15051906) Thilo Hackert (14943832) Susanne Roth (15051909) |
| author2_role | author author author author author author author author author author author author |
| author_facet | Chaoyang Zhang (15051876) Fawaz N. Al-Shaheri (15051879) Mohamed Saiel Saeed Alhamdani (15051882) Andrea S. Bauer (15051885) Jörg D. Hoheisel (15051888) Miriam Schenk (15051891) Ulf Hinz (15051894) Philipp Goedecke (15051897) Karam Al-Halabi (15051900) Markus W. Büchler (15051903) Nathalia A. Giese (15051906) Thilo Hackert (14943832) Susanne Roth (15051909) |
| author_role | author |
| dc.creator.none.fl_str_mv | Chaoyang Zhang (15051876) Fawaz N. Al-Shaheri (15051879) Mohamed Saiel Saeed Alhamdani (15051882) Andrea S. Bauer (15051885) Jörg D. Hoheisel (15051888) Miriam Schenk (15051891) Ulf Hinz (15051894) Philipp Goedecke (15051897) Karam Al-Halabi (15051900) Markus W. Büchler (15051903) Nathalia A. Giese (15051906) Thilo Hackert (14943832) Susanne Roth (15051909) |
| dc.date.none.fl_str_mv | 2025-11-25T13:01:36Z |
| dc.identifier.none.fl_str_mv | 10.1158/1078-0432.30706787 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/dataset/Supplementary_Table_S4_from_Blood-Based_Diagnosis_and_Risk_Stratification_of_Patients_with_Pancreatic_Intraductal_Papillary_Mucinous_Neoplasm_IPMN_/30706787 |
| dc.rights.none.fl_str_mv | CC BY info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Cancer Cancer Detection and Diagnosis Methods and Technology Cancer Prevention Biomarkers Non-coding RNA biomarkers Protein biomarkers Serum biomarkers Cancer Prevention Cancer risk assessment Computational Methods Artificial intelligence & machine learning Gastrointestinal Cancers Pancreatic cancer Liquid Biopsy |
| dc.title.none.fl_str_mv | Supplementary Table S4 from Blood-Based Diagnosis and Risk Stratification of Patients with Pancreatic Intraductal Papillary Mucinous Neoplasm (IPMN) |
| dc.type.none.fl_str_mv | Dataset info:eu-repo/semantics/publishedVersion dataset |
| description | <p>Normalized signal intensity variations obtained on the antibody microarray.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_f33e9e2e1bcd9335cee3a71d55675fc5 |
| identifier_str_mv | 10.1158/1078-0432.30706787 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/30706787 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY |
| spelling | Supplementary Table S4 from Blood-Based Diagnosis and Risk Stratification of Patients with Pancreatic Intraductal Papillary Mucinous Neoplasm (IPMN)Chaoyang Zhang (15051876)Fawaz N. Al-Shaheri (15051879)Mohamed Saiel Saeed Alhamdani (15051882)Andrea S. Bauer (15051885)Jörg D. Hoheisel (15051888)Miriam Schenk (15051891)Ulf Hinz (15051894)Philipp Goedecke (15051897)Karam Al-Halabi (15051900)Markus W. Büchler (15051903)Nathalia A. Giese (15051906)Thilo Hackert (14943832)Susanne Roth (15051909)CancerCancer Detection and DiagnosisMethods and TechnologyCancer PreventionBiomarkersNon-coding RNA biomarkersProtein biomarkersSerum biomarkersCancer PreventionCancer risk assessmentComputational MethodsArtificial intelligence & machine learningGastrointestinal CancersPancreatic cancerLiquid Biopsy<p>Normalized signal intensity variations obtained on the antibody microarray.</p>2025-11-25T13:01:36ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.1158/1078-0432.30706787https://figshare.com/articles/dataset/Supplementary_Table_S4_from_Blood-Based_Diagnosis_and_Risk_Stratification_of_Patients_with_Pancreatic_Intraductal_Papillary_Mucinous_Neoplasm_IPMN_/30706787CC BYinfo:eu-repo/semantics/openAccessoai:figshare.com:article/307067872025-11-25T13:01:36Z |
| spellingShingle | Supplementary Table S4 from Blood-Based Diagnosis and Risk Stratification of Patients with Pancreatic Intraductal Papillary Mucinous Neoplasm (IPMN) Chaoyang Zhang (15051876) Cancer Cancer Detection and Diagnosis Methods and Technology Cancer Prevention Biomarkers Non-coding RNA biomarkers Protein biomarkers Serum biomarkers Cancer Prevention Cancer risk assessment Computational Methods Artificial intelligence & machine learning Gastrointestinal Cancers Pancreatic cancer Liquid Biopsy |
| status_str | publishedVersion |
| title | Supplementary Table S4 from Blood-Based Diagnosis and Risk Stratification of Patients with Pancreatic Intraductal Papillary Mucinous Neoplasm (IPMN) |
| title_full | Supplementary Table S4 from Blood-Based Diagnosis and Risk Stratification of Patients with Pancreatic Intraductal Papillary Mucinous Neoplasm (IPMN) |
| title_fullStr | Supplementary Table S4 from Blood-Based Diagnosis and Risk Stratification of Patients with Pancreatic Intraductal Papillary Mucinous Neoplasm (IPMN) |
| title_full_unstemmed | Supplementary Table S4 from Blood-Based Diagnosis and Risk Stratification of Patients with Pancreatic Intraductal Papillary Mucinous Neoplasm (IPMN) |
| title_short | Supplementary Table S4 from Blood-Based Diagnosis and Risk Stratification of Patients with Pancreatic Intraductal Papillary Mucinous Neoplasm (IPMN) |
| title_sort | Supplementary Table S4 from Blood-Based Diagnosis and Risk Stratification of Patients with Pancreatic Intraductal Papillary Mucinous Neoplasm (IPMN) |
| topic | Cancer Cancer Detection and Diagnosis Methods and Technology Cancer Prevention Biomarkers Non-coding RNA biomarkers Protein biomarkers Serum biomarkers Cancer Prevention Cancer risk assessment Computational Methods Artificial intelligence & machine learning Gastrointestinal Cancers Pancreatic cancer Liquid Biopsy |