Predicting breast cancer risk using interacting genetic and demographic factors and machine learning
出版年份 2020 全文链接
标题
Predicting breast cancer risk using interacting genetic and demographic factors and machine learning
作者
关键词
-
出版物
Scientific Reports
Volume 10, Issue 1, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2020-07-06
DOI
10.1038/s41598-020-66907-9
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- A network analysis to identify mediators of germline-driven differences in breast cancer prognosis
- (2020) Maria Escala-Garcia et al. Nature Communications
- BOADICEA: a comprehensive breast cancer risk prediction model incorporating genetic and nongenetic risk factors
- (2019) Andrew Lee et al. GENETICS IN MEDICINE
- Identification of Cancer Hallmarks Based on the Gene Co-expression Networks of Seven Cancers
- (2019) Ling-Hao Yu et al. Frontiers in Genetics
- A Hallmark-Based Six-Gene Expression Signature to Assess Colorectal Cancer and Its Recurrence Risk
- (2019) Huiqi Lu et al. Genetic Testing and Molecular Biomarkers
- Metabolomic profiles in breast cancer:a pilot case-control study in the breast cancer family registry
- (2018) Marcelle M. Dougan et al. BMC CANCER
- Joint associations of a polygenic risk score and environmental risk factors for breast cancer in the Breast Cancer Association Consortium
- (2018) Anja Rudolph et al. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
- Machine Learning for Integrating Data in Biology and Medicine: Principles, Practice, and Opportunities
- (2018) Marinka Zitnik et al. Information Fusion
- Machine learning identifies interacting genetic variants contributing to breast cancer risk: A case study in Finnish cases and controls
- (2018) Hamid Behravan et al. Scientific Reports
- Pregnancy duration and breast cancer risk
- (2018) Anders Husby et al. Nature Communications
- RE: Bilateral Oophorectomy and Breast Cancer Risk in BRCA1 and BRCA2 Mutation Carriers
- (2017) Emma Nolan et al. JNCI-Journal of the National Cancer Institute
- Association analysis identifies 65 new breast cancer risk loci
- (2017) Kyriaki Michailidou et al. NATURE
- Identification of ten variants associated with risk of estrogen-receptor-negative breast cancer
- (2017) Roger L Milne et al. NATURE GENETICS
- Ensembl 2018
- (2017) Daniel R Zerbino et al. NUCLEIC ACIDS RESEARCH
- A novel BLK-induced tumor model
- (2017) David Leander Petersen et al. TUMOR BIOLOGY
- Development of a predictive miRNA signature for breast cancer risk among high-risk women
- (2017) Nicholas H. Farina et al. Oncotarget
- RE: Bilateral Oophorectomy and Breast Cancer Risk in BRCA1 and BRCA2 Mutation Carriers
- (2017) Emma Nolan et al. JNCI-Journal of the National Cancer Institute
- FGFR2 risk SNPs confer breast cancer risk by augmenting oestrogen responsiveness
- (2016) Thomas M. Campbell et al. CARCINOGENESIS
- Recommendations on breast cancer screening and prevention in the context of implementing risk stratification: impending changes to current policies
- (2016) J. Gagnon et al. Current Oncology
- Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types
- (2016) S. P. Kar et al. Cancer Discovery
- Established breast cancer risk factors and risk of intrinsic tumor subtypes
- (2015) Mollie E. Barnard et al. BIOCHIMICA ET BIOPHYSICA ACTA-REVIEWS ON CANCER
- An epidemiologic risk prediction model for ovarian cancer in Europe: the EPIC study
- (2015) K Li et al. BRITISH JOURNAL OF CANCER
- From candidate gene studies to GWAS and post-GWAS analyses in breast cancer
- (2015) Laura Fachal et al. CURRENT OPINION IN GENETICS & DEVELOPMENT
- Alteration of WWOX in human cancer, a clinical view
- (2015) Izabela Baryła et al. EXPERIMENTAL BIOLOGY AND MEDICINE
- Genome-wide association analysis of more than 120,000 individuals identifies 15 new susceptibility loci for breast cancer
- (2015) Kyriaki Michailidou et al. NATURE GENETICS
- Influence of Feature Encoding and Choice of Classifier on Disease Risk Prediction in Genome-Wide Association Studies
- (2015) Florian Mittag et al. PLoS One
- Predictive genomics: A cancer hallmark network framework for predicting tumor clinical phenotypes using genome sequencing data
- (2015) Edwin Wang et al. SEMINARS IN CANCER BIOLOGY
- The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets
- (2015) Takaya Saito et al. PLoS One
- Prediction of Potential Cancer-Risk Regions Based on Transcriptome Data: Towards a Comprehensive View
- (2014) Arghavan Alisoltani et al. PLoS One
- Fine-Scale Mapping of the FGFR2 Breast Cancer Risk Locus: Putative Functional Variants Differentially Bind FOXA1 and E2F1
- (2013) Kerstin B. Meyer et al. AMERICAN JOURNAL OF HUMAN GENETICS
- Beyond GWASs: Illuminating the Dark Road from Association to Function
- (2013) Stacey L. Edwards et al. AMERICAN JOURNAL OF HUMAN GENETICS
- The complex genetic landscape of familial breast cancer
- (2013) Lorenzo Melchor et al. HUMAN GENETICS
- Evidence of Gene–Environment Interactions between Common Breast Cancer Susceptibility Loci and Established Environmental Risk Factors
- (2013) Stefan Nickels et al. PLoS Genetics
- Hereditary Breast Cancer: The Era of New Susceptibility Genes
- (2013) Paraskevi Apostolou et al. Biomed Research International
- Breast cancer detection risk in screening mammography after a false-positive result
- (2012) X. Castells et al. Cancer Epidemiology
- Targeting the EGFR signaling pathway in cancer therapy
- (2012) Parthasarathy Seshacharyulu et al. EXPERT OPINION ON THERAPEUTIC TARGETS
- A systematic review of breast cancer incidence risk prediction models with meta-analysis of their performance
- (2011) Catherine Meads et al. BREAST CANCER RESEARCH AND TREATMENT
- Risk factors for breast cancer: epidemiological evidence from Japanese studies
- (2011) Motoki Iwasaki et al. CANCER SCIENCE
- Gene–environment interactions in 7610 women with breast cancer: prospective evidence from the Million Women Study
- (2010) Ruth C Travis et al. LANCET
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search