Integrated bioinformatics and statistical approaches to explore molecular biomarkers for breast cancer diagnosis, prognosis and therapies

MS Alam, A Sultana, MS Reza, M Amanullah, SR Kabir… - PloS one, 2022 - journals.plos.org
Integrated bioinformatics and statistical approaches are now playing the vital role in
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 …

Identification of crucial hub genes and potential molecular mechanisms in breast cancer by integrated bioinformatics analysis and experimental validation

DK Yadav, A Sharma, P Dube, S Shaikh… - Computers in Biology …, 2022 - Elsevier
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 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 …

Multi-omics analysis detects novel prognostic subgroups of breast cancer

QH Nguyen, H Nguyen, T Nguyen, DH Le - Frontiers in genetics, 2020 - frontiersin.org
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 …

Identification of hub genes in colorectal cancer based on weighted gene co-expression network analysis and clinical data from The Cancer Genome Atlas

Y Zhang, J Luo, Z Liu, X Liu, Y Ma, B Zhang… - Bioscience …, 2021 - portlandpress.com
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 …

[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 …

Identification of Hub of the Hub-Genes From Different Individual Studies for Early Diagnosis, Prognosis, and Therapies of Breast Cancer

MS Alam, A Sultana, MK Kibria… - … and Biology Insights, 2024 - journals.sagepub.com
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 …

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 …

Local community detection with hints

G Baltsou, K Tsichlas, A Vakali - Applied Intelligence, 2022 - Springer
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 …