Cargando…
Cancer Risk Score Prediction Based on a Single-Nucleotide Polymorphism Network
OBJECTIVES: Genome-wide association studies (GWAS) are performed to study the associations between genetic variants with respect to certain phenotypic traits such as cancer. However, the method that is commonly used in GWAS assumes that certain traits are solely affected by a single mutation. We pro...
Autores principales: | Mahesworo, Bharuno, Budiarto, Arif, Hidayat, Alam Ahmad, Pardamean, Bens |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Society of Medical Informatics
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9388919/ https://www.ncbi.nlm.nih.gov/pubmed/35982599 http://dx.doi.org/10.4258/hir.2022.28.3.247 |
Ejemplares similares
-
Changing Colorectal Cancer Trends in Asians: Epidemiology and Risk Factors
por: Pardamean, Carissa Ikka, et al.
Publicado: (2023) -
Comparative study of predicted miRNA between Indonesia and China (Wuhan) SARS-CoV-2: a bioinformatics analysis
por: Rahmadi, Agus, et al.
Publicado: (2021) -
Quantified Self-Using Consumer Wearable Device: Predicting Physical and Mental Health
por: Pardamean, Bens, et al.
Publicado: (2020) -
Intronic Variant of MUTYH Gene Exhibits A Strong Association with Early Onset of Breast Cancer Susceptibility in Indonesian Women Population
por: Panigoro, Sonar Soni, et al.
Publicado: (2021) -
SSMFN: a fused spatial and sequential deep learning model for methylation site prediction
por: Lumbanraja, Favorisen Rosyking, et al.
Publicado: (2021)