Comparative meta-analysis of prognostic gene signatures for late-stage ovarian cancer
Background Ovarian cancer is the fifth most common cause of cancer deaths in women in
the United States. Numerous gene signatures of patient prognosis have been proposed, but …
the United States. Numerous gene signatures of patient prognosis have been proposed, but …
Decoding the regulatory landscape of melanoma reveals TEADS as regulators of the invasive cell state
A Verfaillie, H Imrichova, ZK Atak, M Dewaele… - Nature …, 2015 - nature.com
Transcriptional reprogramming of proliferative melanoma cells into a phenotypically distinct
invasive cell subpopulation is a critical event at the origin of metastatic spreading. Here we …
invasive cell subpopulation is a critical event at the origin of metastatic spreading. Here we …
A survey on filter techniques for feature selection in gene expression microarray analysis
A plenitude of feature selection (FS) methods is available in the literature, most of them
rising as a need to analyze data of very high dimension, usually hundreds or thousands of …
rising as a need to analyze data of very high dimension, usually hundreds or thousands of …
The use of gene expression datasets in feature selection research: 20 years of inherent bias?
Feature selection algorithms are frequently employed in preprocessing machine learning
pipelines applied to biological data to identify relevant features. The use of feature selection …
pipelines applied to biological data to identify relevant features. The use of feature selection …
EGFR is a master switch between immunosuppressive and immunoactive tumor microenvironment in inflammatory breast cancer
Inflammatory breast cancer (IBC), the most aggressive breast cancer subtype, is driven by
an immunosuppressive tumor microenvironment (TME). Current treatments for IBC have …
an immunosuppressive tumor microenvironment (TME). Current treatments for IBC have …
Batch effect removal methods for microarray gene expression data integration: a survey
Genomic data integration is a key goal to be achieved towards large-scale genomic data
analysis. This process is very challenging due to the diverse sources of information resulting …
analysis. This process is very challenging due to the diverse sources of information resulting …
Circulating MicroRNA-30d is associated with response to cardiac resynchronization therapy in heart failure and regulates cardiomyocyte apoptosis: a translational …
YF Melman, R Shah, K Danielson, J Xiao, B Simonson… - Circulation, 2015 - Am Heart Assoc
Background—Biomarkers that predict response to cardiac resynchronization therapy (CRT)
in heart failure patients with dyssynchrony (HFDYS) would be clinically important …
in heart failure patients with dyssynchrony (HFDYS) would be clinically important …
Unlocking the potential of publicly available microarray data using inSilicoDb and inSilicoMerging R/Bioconductor packages
Background With an abundant amount of microarray gene expression data sets available
through public repositories, new possibilities lie in combining multiple existing data sets. In …
through public repositories, new possibilities lie in combining multiple existing data sets. In …
[HTML][HTML] curatedOvarianData: clinically annotated data for the ovarian cancer transcriptome
This article introduces a manually curated data collection for gene expression meta-analysis
of patients with ovarian cancer and software for reproducible preparation of similar …
of patients with ovarian cancer and software for reproducible preparation of similar …
Cumida: An extensively curated microarray database for benchmarking and testing of machine learning approaches in cancer research
The employment of machine learning (ML) approaches to extract gene expression
information from microarray studies has increased in the past years, specially on cancer …
information from microarray studies has increased in the past years, specially on cancer …