Prognostic and diagnostic values of non-coding RNAs as biomarkers for breast cancer: An umbrella review and pan-cancer analysis
Background: Breast cancer (BC) is the most common cancer in women. The incidence and
morbidity of BC are expected to rise rapidly. The stage at which BC is diagnosed has a …
morbidity of BC are expected to rise rapidly. The stage at which BC is diagnosed has a …
Long non-coding RNA signatures in Lymphopoiesis and lymphoid malignancies
Lymphoid cells play a critical role in the immune system, which includes three subgroups of
T, B, and NK cells. Recognition of the complexity of the human genetics transcriptome in …
T, B, and NK cells. Recognition of the complexity of the human genetics transcriptome in …
[HTML][HTML] Proposing a hybrid technique of feature fusion and convolutional neural network for melanoma skin cancer detection
Skin cancer is among the most common cancer types worldwide. Automatic identification of
skin cancer is complicated because of the poor contrast and apparent resemblance between …
skin cancer is complicated because of the poor contrast and apparent resemblance between …
A comparison of deep neural network models for cluster cancer patients through somatic point mutations
It is now well-known that genetic mutations contribute to development of tumors, in which at
least 15% of cancer patients experience a causative genetic abnormality including De Novo …
least 15% of cancer patients experience a causative genetic abnormality including De Novo …
Exosomes in triple negative breast cancer: From bench to bedside
W Tang, M Xia, Y Liao, Y Fang, G Wen, J Zhong - Cancer Letters, 2022 - Elsevier
Exosomes are lipid bilayer extracellular vesicles with a size of 30–150 nm, which can be
released by various types of cells including breast cancer cells. Exosomes are enriched with …
released by various types of cells including breast cancer cells. Exosomes are enriched with …
Hybrid feature fusion and machine learning approaches for melanoma skin cancer detection
Skin cancer is an exquisite disease globally nowadays. Because of the poor contrast and
apparent resemblance between skin and lesions, automatic identification of skin cancer is …
apparent resemblance between skin and lesions, automatic identification of skin cancer is …
Regulatory miRNAs, circRNAs and lncRNAs in cell cycle progression of breast cancer
H Chen, G Xie, Q Luo, Y Yang, S Hu - Functional & Integrative Genomics, 2023 - Springer
Breast cancer is a complex and heterogeneous disease that poses a significant public
health concern worldwide, and it remains a major challenge despite advances in treatment …
health concern worldwide, and it remains a major challenge despite advances in treatment …
Somatic point mutations are enriched in non-coding RNAs with possible regulatory function in breast cancer
Non-coding RNAs (ncRNAs) form a large portion of the mammalian genome. However, their
biological functions are poorly characterized in cancers. In this study, using a newly …
biological functions are poorly characterized in cancers. In this study, using a newly …
A survey on machine learning and internet of medical things-based approaches for handling COVID-19: Meta-analysis
SS Band, S Ardabili, A Yarahmadi… - Frontiers in Public …, 2022 - frontiersin.org
Early diagnosis, prioritization, screening, clustering, and tracking of patients with COVID-19,
and production of drugs and vaccines are some of the applications that have made it …
and production of drugs and vaccines are some of the applications that have made it …
Integrative analysis of mutated genes and mutational processes reveals novel mutational biomarkers in colorectal cancer
Background Colorectal cancer (CRC) is one of the leading causes of cancer-related deaths
worldwide. Recent studies have observed causative mutations in susceptible genes related …
worldwide. Recent studies have observed causative mutations in susceptible genes related …