Incorporating tumour pathology information into breast cancer risk prediction algorithms
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1465-542X
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Incorporating tumour pathology information into breast cancer risk prediction algorithms ; volume:12 ; number:3 ; day:18 ; month:5 ; year:2010 ; pages:1-12 ; date:6.2010
Breast cancer research ; 12, Heft 3 (18.5.2010), 1-12, 6.2010
- Creator
-
Mavaddat, Nasim
- Contributor
-
Rebbeck, Timothy R.
Lakhani, Sunil R.
Easton, Douglas F.
Antoniou, Antonis C.
SpringerLink (Online service)
- DOI
-
10.1186/bcr2576
- URN
-
urn:nbn:de:1111-201603247746
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:59 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
- Mavaddat, Nasim
- Rebbeck, Timothy R.
- Lakhani, Sunil R.
- Easton, Douglas F.
- Antoniou, Antonis C.
- SpringerLink (Online service)
Other Objects (12)
Clinical software development for the Web: lessons learned from the BOADICEA project
The admixture maximum likelihood test to test for association between rare variants and disease phenotypes
Letter to the editor: a response to Ming’s study on machine learning techniques for personalized breast cancer risk prediction
BRCA1 and BRCA2 mutation predictions using the BOADICEA and BRCAPRO models and penetrance estimation in high-risk French-Canadian families
Cancer incidence in relatives of British Fanconi Anaemia patients
BRCA1 and BRCA2 mutations in a population-based study of male breast cancer
Parity and breast cancer risk among BRCA1 and BRCA2mutation carriers
Genomic risk prediction of coronary artery disease in women with breast cancer: a prospective cohort study
Seq4SNPs: new software for retrieval of multiple, accurately annotated DNA sequences, ready formatted for SNP assay design
Incorporating functional inter-relationships into protein function prediction algorithms
Familial relative risks for breast cancer by pathological subtype: a population-based cohort study
Common variants in the ATM, BRCA1, BRCA2, CHEK2 and TP53 cancer susceptibility genes are unlikely to increase breast cancer risk
Clinical software development for the Web: lessons learned from the BOADICEA project
The admixture maximum likelihood test to test for association between rare variants and disease phenotypes
Letter to the editor: a response to Ming’s study on machine learning techniques for personalized breast cancer risk prediction
BRCA1 and BRCA2 mutation predictions using the BOADICEA and BRCAPRO models and penetrance estimation in high-risk French-Canadian families
Cancer incidence in relatives of British Fanconi Anaemia patients
BRCA1 and BRCA2 mutations in a population-based study of male breast cancer
Parity and breast cancer risk among BRCA1 and BRCA2mutation carriers
Genomic risk prediction of coronary artery disease in women with breast cancer: a prospective cohort study
Seq4SNPs: new software for retrieval of multiple, accurately annotated DNA sequences, ready formatted for SNP assay design
Incorporating functional inter-relationships into protein function prediction algorithms
Familial relative risks for breast cancer by pathological subtype: a population-based cohort study
Common variants in the ATM, BRCA1, BRCA2, CHEK2 and TP53 cancer susceptibility genes are unlikely to increase breast cancer risk
Clinical software development for the Web: lessons learned from the BOADICEA project
The admixture maximum likelihood test to test for association between rare variants and disease phenotypes
Letter to the editor: a response to Ming’s study on machine learning techniques for personalized breast cancer risk prediction
BRCA1 and BRCA2 mutation predictions using the BOADICEA and BRCAPRO models and penetrance estimation in high-risk French-Canadian families
Cancer incidence in relatives of British Fanconi Anaemia patients
BRCA1 and BRCA2 mutations in a population-based study of male breast cancer
Parity and breast cancer risk among BRCA1 and BRCA2mutation carriers
Genomic risk prediction of coronary artery disease in women with breast cancer: a prospective cohort study
Seq4SNPs: new software for retrieval of multiple, accurately annotated DNA sequences, ready formatted for SNP assay design
Incorporating functional inter-relationships into protein function prediction algorithms
Familial relative risks for breast cancer by pathological subtype: a population-based cohort study