[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 …
all of which play roles in the mitochondrial respiratory chain. After a long period of …
[HTML][HTML] Omics-based investigations of breast cancer
Breast cancer (BC) is characterized by an extensive genotypic and phenotypic
heterogeneity. In-depth investigations into the molecular bases of BC phenotypes …
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
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 …
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 …
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 …
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 …
explore the physiological and pathological processes within the human body and can …
[PDF][PDF] Comparison of machine learning models for breast cancer diagnosis
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) …
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 …
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 …
(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 …
fields of genomics and medicine. High-throughput gene expression analysis methods such …