Cargando…
Identification of Platform-Independent Diagnostic Biomarker Panel for Hepatocellular Carcinoma Using Large-Scale Transcriptomics Data
The high mortality rate of hepatocellular carcinoma (HCC) is primarily due to its late diagnosis. In the past, numerous attempts have been made to design genetic biomarkers for the identification of HCC; unfortunately, most of the studies are based on small datasets obtained from a specific platform...
Autores principales: | Kaur, Harpreet, Dhall, Anjali, Kumar, Rajesh, Raghava, Gajendra P. S. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6967266/ https://www.ncbi.nlm.nih.gov/pubmed/31998366 http://dx.doi.org/10.3389/fgene.2019.01306 |
Ejemplares similares
-
Computing Skin Cutaneous Melanoma Outcome From the HLA-Alleles and Clinical Characteristics
por: Dhall, Anjali, et al.
Publicado: (2020) -
Prediction and Analysis of Skin Cancer Progression using Genomics Profiles of Patients
por: Bhalla, Sherry, et al.
Publicado: (2019) -
Classification of early and late stage liver hepatocellular carcinoma patients from their genomics and epigenomics profiles
por: Kaur, Harpreet, et al.
Publicado: (2019) -
Prediction of risk-associated genes and high-risk liver cancer patients from their mutation profile: benchmarking of mutation calling techniques
por: Patiyal, Sumeet, et al.
Publicado: (2022) -
Prediction of celiac disease associated epitopes and motifs in a protein
por: Tomer, Ritu, et al.
Publicado: (2023)