Mining genome sequencing data to identify the genomic features linked to breast cancer histopathology
Background: Genetics and genomics have radically altered our understanding of breast cancer progression. However, the genomic basis of various histopathologic features of breast cancer is not yet well-defined. Materials and Methods: The Cancer Genome Atlas (TCGA) is an international database contain...
Saved in:
Main Authors: | Zheng Ping (Author), Gene P Siegal (Author), Jonas S Almeida (Author), Stuart J Schnitt (Author), Dejun Shen (Author) |
---|---|
Format: | Book |
Published: |
Elsevier,
2014-01-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Identifying Genomic Variations in Monozygotic Twins Discordant for Autism Spectrum Disorder Using Whole-Genome Sequencing
by: Yan Huang, et al.
Published: (2019) -
Proteomics: beyond the genome sequence
by: Barry Whyte
Published: (2000) -
Whole Genome Sequencing in Pharmacogenomics
by: George P Patrinos, et al.
Published: (2015) -
Genome Mining and Marine Microbial Natural Products
by: Hong, Kui
Published: (2020) -
Genomics and tumor microenvironment of breast mucoepidermoid carcinoma based on whole-exome and RNA sequencing
by: Yan Ge, et al.
Published: (2024)