[HTML][HTML] Abnormal expression of mitochondrial ribosomal proteins and their encoding genes with cell apoptosis and diseases

G Huang, H Li, H Zhang - International journal of molecular sciences, 2020 - mdpi.com
Mammalian mitochondrial ribosomes translate 13 proteins encoded by mitochondrial genes,
all of which play roles in the mitochondrial respiratory chain. After a long period of …

[HTML][HTML] Omics-based investigations of breast cancer

AN Neagu, D Whitham, P Bruno, H Morrissiey… - Molecules, 2023 - mdpi.com
Breast cancer (BC) is characterized by an extensive genotypic and phenotypic
heterogeneity. In-depth investigations into the molecular bases of BC phenotypes …

[HTML][HTML] Dual regularized unsupervised feature selection based on matrix factorization and minimum redundancy with application in gene selection

F Saberi-Movahed, M Rostami, K Berahmand… - Knowledge-Based …, 2022 - Elsevier
Gene expression data have become increasingly important in machine learning and
computational biology over the past few years. In the field of gene expression analysis …

[HTML][HTML] TELO2 induced progression of colorectal cancer by binding with RICTOR through mTORC2

Z Guo, X Zhang, H Zhu, N Zhong, X Luo… - Oncology …, 2021 - spandidos-publications.com
Colorectal cancer (CRC) is a common cancer worldwide, and its treatment strategies are
limited. The underlying mechanism of CRC progression remains to be determined …

Artificial intelligence in clinical research of cancers

D Shao, Y Dai, N Li, X Cao, W Zhao… - Briefings in …, 2022 - academic.oup.com
Several factors, including advances in computational algorithms, the availability of high-
performance computing hardware, and the assembly of large community-based databases …

[HTML][HTML] Research on Medical Problems Based on Mathematical Models

Y Liu, R Wu, A Yang - Mathematics, 2023 - mdpi.com
Mathematical modeling can help the medical community to more fully understand and
explore the physiological and pathological processes within the human body and can …

[PDF][PDF] Comparison of machine learning models for breast cancer diagnosis

RR Kadhim, MY Kamil - IAES International Journal of Artificial …, 2023 - researchgate.net
Breast cancer is the most common cause of death among women worldwide. Breast cancer
can be detected early, and the death rate can be reduced. Machine learning (ML) …

A two-phase cuckoo search based approach for gene selection and deep learning classification of cancer disease using gene expression data with a novel fitness …

AA Joshi, RM Aziz - Multimedia Tools and Applications, 2024 - Springer
The early detection of cancer is of paramount importance in the medical field, as it can lead
to more precise and effective interventions for successful cancer treatments. Cancer …

[HTML][HTML] Pan-cancer study of SHC-adaptor protein 1 (SHC1) as a diagnostic, prognostic and immunological biomarker in human cancer

J Chen, G Gao, L Li, J Ding, X Chen, J Lei… - Frontiers in …, 2022 - frontiersin.org
Background: Recent studies highlight the carcinogenesis role of SHC-adaptor protein 1
(SHC1) in cancer initiation, development, and progression. However, its aberrant …

[HTML][HTML] A comprehensive survey on computational learning methods for analysis of gene expression data

N Bhandari, R Walambe, K Kotecha… - Frontiers in Molecular …, 2022 - frontiersin.org
Computational analysis methods including machine learning have a significant impact in the
fields of genomics and medicine. High-throughput gene expression analysis methods such …