A merged microarray meta-dataset for transcriptionally profiling colorectal neoplasm formation and progression
Measurement(s) transcriptome • colorectal cancer Technology Type(s) microarray Factor Type(s) gene expression Sample Characteristic - Organism Homo sapiens Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.14589006
Main Authors: | Michael Rohr, Jordan Beardsley, Sai Preethi Nakkina, Xiang Zhu, Jihad Aljabban, Dexter Hadley, Deborah Altomare |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2021-08-01
|
Series: | Scientific Data |
Online Access: | https://doi.org/10.1038/s41597-021-00998-5 |
Similar Items
-
DFMO Improves Survival and Increases Immune Cell Infiltration in Association with MYC Downregulation in the Pancreatic Tumor Microenvironment
by: Sai Preethi Nakkina, et al.
Published: (2021-12-01) -
Large Scale Advanced Data Analytics on Skin Conditions from Genotype to Phenotype
by: Maryam Panahiazar, et al.
Published: (2018-10-01) -
Diagnostic biomarker candidates for pulpitis revealed by bioinformatics analysis of merged microarray gene expression datasets
by: Ming Chen, et al.
Published: (2020-10-01) -
Meta-Analysis illustrates possible role of lipopolysaccharide (LPS)-induced tissue injury in nasopharyngeal carcinoma (NPC) pathogenesis.
by: David Z Allen, et al.
Published: (2021-01-01) -
Characterization of monoclonal gammopathy of undetermined significance progression to multiple myeloma through meta-analysis of GEO data
by: Jihad Aljabban, et al.
Published: (2023-07-01)