Prediction of high anti-angiogenic activity peptides in silico using a generalized linear model and feature selection
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2045-2322
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Prediction of high anti-angiogenic activity peptides in silico using a generalized linear model and feature selection ; volume:8 ; number:1 ; day:24 ; month:10 ; year:2018 ; pages:1-11 ; date:12.2018
Scientific reports ; 8, Heft 1 (24.10.2018), 1-11, 12.2018
- Creator
-
Blanco, Jose Liñares
- Contributor
-
Porto-Pazos, Ana B.
Pazos, Alejandro
Fernandez-Lozano, Carlos
SpringerLink (Online service)
- DOI
-
10.1038/s41598-018-33911-z
- URN
-
urn:nbn:de:101:1-2018112720104347287599
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:45 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Blanco, Jose Liñares
- Porto-Pazos, Ana B.
- Pazos, Alejandro
- Fernandez-Lozano, Carlos
- SpringerLink (Online service)
Other Objects (12)
Anti-angiogenic SPARC peptides inhibit progression of neuroblastoma tumors
AntAngioCOOL: computational detection of anti-angiogenic peptides
Using a Classifier Fusion Strategy to Identify Anti-angiogenic Peptides
Anti-angiogenic alternatives to VEGF blockade
Anti-angiogenic therapies in brain metastases
Future options of anti-angiogenic cancer therapy
Correction: Beyond starving cancer: anti-angiogenic therapy
Characterization of anti-angiogenic therapy response in glioblastoma
Anti-angiogenic therapies for advanced esophago-gastric cancer
Perforated Gastric Ulcer Associated with Anti-Angiogenic Therapy
Improved prediction of anti-angiogenic peptides based on machine learning models and comprehensive features from peptide sequences
Enhancing the anti-angiogenic action of histone deacetylase inhibitors
Anti-angiogenic SPARC peptides inhibit progression of neuroblastoma tumors
AntAngioCOOL: computational detection of anti-angiogenic peptides
Using a Classifier Fusion Strategy to Identify Anti-angiogenic Peptides
Anti-angiogenic alternatives to VEGF blockade
Anti-angiogenic therapies in brain metastases
Future options of anti-angiogenic cancer therapy
Correction: Beyond starving cancer: anti-angiogenic therapy
Characterization of anti-angiogenic therapy response in glioblastoma
Anti-angiogenic therapies for advanced esophago-gastric cancer
Perforated Gastric Ulcer Associated with Anti-Angiogenic Therapy
Improved prediction of anti-angiogenic peptides based on machine learning models and comprehensive features from peptide sequences
Enhancing the anti-angiogenic action of histone deacetylase inhibitors
Anti-angiogenic SPARC peptides inhibit progression of neuroblastoma tumors
AntAngioCOOL: computational detection of anti-angiogenic peptides
Using a Classifier Fusion Strategy to Identify Anti-angiogenic Peptides
Anti-angiogenic alternatives to VEGF blockade
Anti-angiogenic therapies in brain metastases
Future options of anti-angiogenic cancer therapy
Correction: Beyond starving cancer: anti-angiogenic therapy
Characterization of anti-angiogenic therapy response in glioblastoma
Anti-angiogenic therapies for advanced esophago-gastric cancer
Perforated Gastric Ulcer Associated with Anti-Angiogenic Therapy
Improved prediction of anti-angiogenic peptides based on machine learning models and comprehensive features from peptide sequences