A network-based cancer drug discovery: from integrated multi-omics approaches to precision medicine
A complex framework of interacting partners including genetic, proteomic, and metabolic
networks that cooperate to mediate specific functional phenotypes drives human biological …
networks that cooperate to mediate specific functional phenotypes drives human biological …
[HTML][HTML] Machine learning and bioinformatics models to identify gene expression patterns of ovarian cancer associated with disease progression and mortality
Ovarian cancer (OC) is a common cause of cancer death among women worldwide, so there
is a pressing need to identify factors influencing OC mortality. Much OC patient clinical data …
is a pressing need to identify factors influencing OC mortality. Much OC patient clinical data …
Computational approaches leveraging integrated connections of multi-omic data toward clinical applications
In line with the advances in high-throughput technologies, multiple omic datasets have
accumulated to study biological systems and diseases coherently. No single omics data type …
accumulated to study biological systems and diseases coherently. No single omics data type …
Inference of differential key regulatory networks and mechanistic drug repurposing candidates from scRNA-seq data with SCANet
Motivation The reconstruction of small key regulatory networks that explain the differences in
the development of cell (sub) types from single-cell RNA sequencing is a yet unresolved …
the development of cell (sub) types from single-cell RNA sequencing is a yet unresolved …
Updating genome annotation for the microbial cell factory Aspergillus niger using gene co-expression networks
P Schaepe, MJ Kwon, B Baumann… - Nucleic acids …, 2019 - academic.oup.com
A significant challenge in our understanding of biological systems is the high number of
genes with unknown function in many genomes. The fungal genus Aspergillus contains …
genes with unknown function in many genomes. The fungal genus Aspergillus contains …
Pan-cancer mapping of differential protein-protein interactions
Deciphering the variations in the protein interactome is required to reach a systems-level
understanding of tumorigenesis. To accomplish this task, we have considered the clinical …
understanding of tumorigenesis. To accomplish this task, we have considered the clinical …
GWENA: gene co-expression networks analysis and extended modules characterization in a single Bioconductor package
GG Lemoine, MP Scott-Boyer, B Ambroise, O Périn… - BMC …, 2021 - Springer
Background Network-based analysis of gene expression through co-expression networks
can be used to investigate modular relationships occurring between genes performing …
can be used to investigate modular relationships occurring between genes performing …
Identification of potential autophagy-related genes in steroid-induced osteonecrosis of the femoral head via bioinformatics analysis and experimental verification
XZ Liang, D Luo, YR Chen, JC Li, BZ Yan… - Journal of Orthopaedic …, 2022 - Springer
Purpose Steroid-induced osteonecrosis of the femoral head (SONFH) is a refractory
orthopaedic hip joint disease that occurs in young-and middle-aged people. Previous …
orthopaedic hip joint disease that occurs in young-and middle-aged people. Previous …
Multiomics analysis of tumor microenvironment reveals Gata2 and miRNA-124-3p as potential novel biomarkers in ovarian cancer
Ovarian cancer is a common and, yet, one of the most deadly human cancers due to its
insidious onset and the current lack of robust early diagnostic tests. Tumors are complex …
insidious onset and the current lack of robust early diagnostic tests. Tumors are complex …
Distinct signatures of lung cancer types: aberrant mucin O-glycosylation and compromised immune response
M Lucchetta, I da Piedade, M Mounir, M Vabistsevits… - BMC cancer, 2019 - Springer
Background Genomic initiatives such as The Cancer Genome Atlas (TCGA) contain data
from-omics profiling of thousands of tumor samples, which may be used to decipher cancer …
from-omics profiling of thousands of tumor samples, which may be used to decipher cancer …