Colorectal cancer prediction based on weighted gene co-expression network analysis and variational auto-encoder
D Ai, Y Wang, X Li, H Pan - Biomolecules, 2020 - mdpi.com
An effective feature extraction method is key to improving the accuracy of a prediction model.
From the Gene Expression Omnibus (GEO) database, which includes 13,487 genes, we …
From the Gene Expression Omnibus (GEO) database, which includes 13,487 genes, we …
[Retracted] Identification of 9 Gene Signatures by WGCNA to Predict Prognosis for Colon Adenocarcinoma
M Yang, H He, T Peng, Y Lu, J Yu - Computational Intelligence …, 2022 - Wiley Online Library
Background. A risk assessment model for prognostic prediction of colon adenocarcinoma
(COAD) was established based on weighted gene co‐expression network analysis …
(COAD) was established based on weighted gene co‐expression network analysis …
Filtered selection coupled with support vector machines generate a functionally relevant prediction model for colorectal cancer
MN Gabere, MA Hussein, MA Aziz - OncoTargets and therapy, 2016 - Taylor & Francis
Purpose There has been considerable interest in using whole-genome expression profiles
for the classification of colorectal cancer (CRC). The selection of important features is a …
for the classification of colorectal cancer (CRC). The selection of important features is a …
Identification of key genes in colorectal cancer diagnosis by weighted gene co-expression network analysis
Background The purpose of this study was using bioinformatics tools to identify biomarkers
and molecular factors involved in the diagnosis of colorectal cancer, which are effective for …
and molecular factors involved in the diagnosis of colorectal cancer, which are effective for …
Incorporating gene co-expression network in identification of cancer prognosis markers
Background Extensive biomedical studies have shown that clinical and environmental risk
factors may not have sufficient predictive power for cancer prognosis. The development of …
factors may not have sufficient predictive power for cancer prognosis. The development of …
Discovery of core genes in colorectal cancer by weighted gene co‑expression network analysis
C Liao, X Huang, Y Gong, Q Lin - Oncology letters, 2019 - spandidos-publications.com
The aim of the present study was to investigate the interactions among messenger RNAs
(mRNAs), microRNAs (miRNAs), and long noncoding RNAs (lncRNAs) in colorectal cancer …
(mRNAs), microRNAs (miRNAs), and long noncoding RNAs (lncRNAs) in colorectal cancer …
Identification of diagnostic biomarkers via weighted correlation network analysis in colorectal cancer using a system biology approach
Colorectal cancer (CRC) is the third most frequent cancer to be diagnosed in both females
and males necessitating identification of effective biomarkers. An in-silico system biology …
and males necessitating identification of effective biomarkers. An in-silico system biology …
[HTML][HTML] Identification of potential biomarkers with colorectal cancer based on bioinformatics analysis and machine learning
Colorectal cancer (CRC) is one of the most common malignancies worldwide. Biomarker
discovery is critical to improve CRC diagnosis, however, machine learning offers a new …
discovery is critical to improve CRC diagnosis, however, machine learning offers a new …
[HTML][HTML] Prediction and validation of GUCA2B as the hub-gene in colorectal cancer based on co-expression network analysis: In-silico and in-vivo study
Background Several serious attempts to treat colorectal cancer have been made in recent
decades. However, no effective treatment has yet been discovered due to the complexities …
decades. However, no effective treatment has yet been discovered due to the complexities …
Local augmented graph neural network for multi-omics cancer prognosis prediction and analysis
Cancer prognosis prediction and analysis can help patients understand expected life and
help clinicians provide correct therapeutic guidance. Thanks to the development of …
help clinicians provide correct therapeutic guidance. Thanks to the development of …