Machine learning for synergistic network pharmacology: a comprehensive overview
Network pharmacology is an emerging area of systematic drug research that attempts to
understand drug actions and interactions with multiple targets. Network pharmacology has …
understand drug actions and interactions with multiple targets. Network pharmacology has …
[PDF][PDF] Identification of Triple Negative Breast Cancer Genes Using Rough Set Based Feature Selection Algorithm & Ensemble Classifier
In recent decades, microarray datasets have played an important role in triple negative
breast cancer (TNBC) detection. Microarray data classification is a challenging process due …
breast cancer (TNBC) detection. Microarray data classification is a challenging process due …
Molecular targets and therapeutic strategies for triple-negative breast cancer
Y Bhat, MR Thrishna, S Banerjee - Molecular Biology Reports, 2023 - Springer
Triple-negative breast cancer (TNBC) is known for its heterogeneous complexity and is often
difficult to treat. TNBC lacks the expression of major hormonal receptors like estrogen …
difficult to treat. TNBC lacks the expression of major hormonal receptors like estrogen …
Identification of dysregulated miRNAs in triple negative breast cancer: a meta‐analysis approach
LD Naorem, M Muthaiyan… - Journal of cellular …, 2019 - Wiley Online Library
Triple negative breast cancer (TNBC) is an aggressive subtype of breast cancer with poor
clinical outcomes and lack of approved targeted therapy. Dysregulated microRNAs …
clinical outcomes and lack of approved targeted therapy. Dysregulated microRNAs …
Identification of potential key genes and pathways predicting pathogenesis and prognosis for triple-negative breast cancer
X Lv, M He, Y Zhao, L Zhang, W Zhu, L Jiang… - Cancer cell …, 2019 - Springer
Background Triple negative breast cancer (TNBC) is a specific subtype of breast cancer with
a poor prognosis due to its aggressive biological behaviour and lack of therapeutic targets …
a poor prognosis due to its aggressive biological behaviour and lack of therapeutic targets …
Integrative transcriptomic, proteomic, and machine learning approach to identifying feature genes of atrial fibrillation using atrial samples from patients with valvular …
Y Liu, F Bai, Z Tang, N Liu, Q Liu - BMC Cardiovascular Disorders, 2021 - Springer
Background Atrial fibrillation (AF) is the most common arrhythmia with poorly understood
mechanisms. We aimed to investigate the biological mechanism of AF and to discover …
mechanisms. We aimed to investigate the biological mechanism of AF and to discover …
Comprehensive analysis of dysregulated lncRNAs and their competing endogenous RNA network in triple-negative breast cancer
LD Naorem, VS Prakash, M Muthaiyan… - International journal of …, 2020 - Elsevier
The study aimed to explore the molecular mechanism underlying triple-negative breast
cancer (TNBC) and to identify their potential diagnostic/prognostic biomarkers. The …
cancer (TNBC) and to identify their potential diagnostic/prognostic biomarkers. The …
AURKB: a promising biomarker in clear cell renal cell carcinoma
B Wan, Y Huang, B Liu, L Lu, C Lv - PeerJ, 2019 - peerj.com
Background Aurora kinase B (AURKB) is an important carcinogenic factor in various tumors,
while its role in clear cell renal cell carcinoma (ccRCC) still remains unclear. This study …
while its role in clear cell renal cell carcinoma (ccRCC) still remains unclear. This study …
Quadruple-negative breast cancer: novel implications for a new disease
S Bhattarai, G Saini, K Gogineni, R Aneja - Breast Cancer Research, 2020 - Springer
Based on the androgen receptor (AR) expression, triple-negative breast cancer (TNBC) can
be subdivided into AR-positive TNBC and AR-negative TNBC, also known as quadruple …
be subdivided into AR-positive TNBC and AR-negative TNBC, also known as quadruple …
Identification of the significant genes regulated by estrogen receptor in estrogen receptor-positive breast cancer and their expression pattern changes when tamoxifen …
R Cheng, L Qi, X Kong, Z Wang, Y Fang… - Frontiers in genetics, 2020 - frontiersin.org
Breast cancer is the most frequent malignant tumor in women, and the estrogen receptor
(ER) plays a vital role in the vast majority of breast cancers. The purpose of the present study …
(ER) plays a vital role in the vast majority of breast cancers. The purpose of the present study …