Integrated bioinformatics and statistical approaches to explore molecular biomarkers for breast cancer diagnosis, prognosis and therapies
Integrated bioinformatics and statistical approaches are now playing the vital role in
identifying potential molecular biomarkers more accurately in presence of huge number of …
identifying potential molecular biomarkers more accurately in presence of huge number of …
Multi-omics data analysis identifies prognostic biomarkers across cancers
E Demir Karaman, Z Işık - Medical Sciences, 2023 - mdpi.com
Combining omics data from different layers using integrative methods provides a better
understanding of the biology of a complex disease such as cancer. The discovery of …
understanding of the biology of a complex disease such as cancer. The discovery of …
Identification of crucial hub genes and potential molecular mechanisms in breast cancer by integrated bioinformatics analysis and experimental validation
Breast cancer (BC) is a malignancy that affects a large number of women around the world.
The purpose of the current study was to use bioinformatics analysis to uncover gene …
The purpose of the current study was to use bioinformatics analysis to uncover gene …
The breast cancer coagulome in the tumor microenvironment and its role in prognosis and treatment response to chemotherapy
M Tinholt, X Tekpli, LA Torland, A Tahiri… - Journal of Thrombosis …, 2024 - Elsevier
Background The procoagulant phenotype in cancer is linked to thrombosis, cancer
progression, and immune response. A novel treatment that reduces the risk of both …
progression, and immune response. A novel treatment that reduces the risk of both …
Multi-omics analysis detects novel prognostic subgroups of breast cancer
The unprecedented proliferation of recent large-scale and multi-omics databases of cancers
has given us many new insights into genomic and epigenomic deregulation in cancer …
has given us many new insights into genomic and epigenomic deregulation in cancer …
Identification of hub genes in colorectal cancer based on weighted gene co-expression network analysis and clinical data from The Cancer Genome Atlas
Colorectal cancer (CRC) is one of the most common tumors worldwide and is associated
with high mortality. Here we performed bioinformatics analysis, which we validated using …
with high mortality. Here we performed bioinformatics analysis, which we validated using …
[HTML][HTML] Hub genes associated with immune cell infiltration in breast cancer, identified through bioinformatic analyses of multiple datasets
H Zhao, R Dang, Y Zhu, B Qu, Y Sayyed… - Cancer Biology & …, 2022 - ncbi.nlm.nih.gov
Objective: The aim of this study was to identify hub genes associated with immune cell
infiltration in breast cancer through bioinformatic analyses of multiple datasets. Methods …
infiltration in breast cancer through bioinformatic analyses of multiple datasets. Methods …
Identification of Hub of the Hub-Genes From Different Individual Studies for Early Diagnosis, Prognosis, and Therapies of Breast Cancer
Breast cancer (BC) is a complex disease, which causes of high mortality rate in women.
Early diagnosis and therapeutic improvements may reduce the mortality rate. There were …
Early diagnosis and therapeutic improvements may reduce the mortality rate. There were …
A multimodal affinity fusion network for predicting the survival of breast cancer patients
W Guo, W Liang, Q Deng, X Zou - Frontiers in Genetics, 2021 - frontiersin.org
Accurate survival prediction of breast cancer holds significant meaning for improving patient
care. Approaches using multiple heterogeneous modalities such as gene expression, copy …
care. Approaches using multiple heterogeneous modalities such as gene expression, copy …
Local community detection with hints
Local community detection is a widely used method for identifying groups of nodes starting
from seeding nodes. The seed (s) are usually selected either randomly or based only on …
from seeding nodes. The seed (s) are usually selected either randomly or based only on …