Identification of colorectal cancer related genes with mRMR and shortest path in protein-protein interaction network
One of the most important and challenging problems in biomedicine and genomics is how to
identify the disease genes. In this study, we developed a computational method to identify …
identify the disease genes. In this study, we developed a computational method to identify …
Identification of hepatocellular carcinoma related genes with k-th shortest paths in a protein–protein interaction network
Hepatocellular carcinoma (HCC) is the most common type of liver cancer worldwide and
one of the deadliest cancers in Asia. But at present, effective targets for HCC clinical therapy …
one of the deadliest cancers in Asia. But at present, effective targets for HCC clinical therapy …
[HTML][HTML] Prioritization of potential candidate disease genes by topological similarity of protein–protein interaction network and phenotype data
J Luo, S Liang - Journal of biomedical informatics, 2015 - Elsevier
Identifying candidate disease genes is important to improve medical care. However, this task
is challenging in the post-genomic era. Several computational approaches have been …
is challenging in the post-genomic era. Several computational approaches have been …
Construction and comprehensive analysis of a molecular association network via lncRNA–miRNA–disease–drug–protein graph
One key issue in the post-genomic era is how to systematically describe the associations
between small molecule transcripts or translations inside cells. With the rapid development …
between small molecule transcripts or translations inside cells. With the rapid development …
Identification of potential key genes and pathways in early-onset colorectal cancer through bioinformatics analysis
B Zhao, Z Baloch, Y Ma, Z Wan, Y Huo, F Li… - Cancer …, 2019 - journals.sagepub.com
This study was designed to identify the potential key protein interaction networks, genes,
and correlated pathways in early-onset colorectal cancer (CRC) via bioinformatics methods …
and correlated pathways in early-onset colorectal cancer (CRC) via bioinformatics methods …
[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 …
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 …
Screening of hub genes and pathways in colorectal cancer with microarray technology
Y Wang, T Zheng - Pathology & Oncology Research, 2014 - Springer
Here we intend to identify key genes and pathways in the pathogenesis of colorectal cancer
(CRC) through analyzing microarray data with bioinformatic tools. The gene expression …
(CRC) through analyzing microarray data with bioinformatic tools. The gene expression …
Construction and analysis of protein-protein interaction networks based on proteomics data of prostate cancer
C Chen, H Shen, LG Zhang, J Liu… - International …, 2016 - spandidos-publications.com
Currently, using human prostate cancer (PCa) tissue samples to conduct proteomics
research has generated a large amount of data; however, only a very small amount has …
research has generated a large amount of data; however, only a very small amount has …
A comparative study of cancer proteins in the human protein-protein interaction network
Background Cancer is a complex disease. So far, many genes have been reported to
involve in the development of cancer. Rather than the traditional approach to studying …
involve in the development of cancer. Rather than the traditional approach to studying …
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