A review of principal component analysis algorithm for dimensionality reduction

BMS Hasan, AM Abdulazeez - Journal of Soft Computing …, 2021 - publisher.uthm.edu.my
Big databases are increasingly widespread and are therefore hard to understand, in
exploratory biomedicine science, big data in health research is highly exciting because data …

A novel autophagy‐related lncRNA prognostic risk model for breast cancer

X Li, F **, Y Li - Journal of Cellular and Molecular Medicine, 2021 - Wiley Online Library
Long non‐coding RNAs (lncRNAs) are well known as crucial regulators to breast cancer
development and are implicated in controlling autophagy. LncRNAs are also emerging as …

Incorporating machine learning into established bioinformatics frameworks

N Auslander, AB Gussow, EV Koonin - International journal of molecular …, 2021 - mdpi.com
The exponential growth of biomedical data in recent years has urged the application of
numerous machine learning techniques to address emerging problems in biology and …

Identification and validation of stemness-related lncRNA prognostic signature for breast cancer

X Li, Y Li, X Yu, F ** - Journal of translational medicine, 2020 - Springer
Abstract Background Long noncoding RNAs (lncRNAs) are emerging as crucial contributors
to the development of breast cancer and are involved in the stemness regulation of breast …

Microbial metabolomics: From novel technologies to diversified applications

D Ye, X Li, J Shen, X **a - TrAC Trends in Analytical Chemistry, 2022 - Elsevier
Microbial metabolomics focuses on the analysis of intracellular or extracellular primary
metabolites, signaling molecules, hormones, and secondary metabolites, and it is an …

Cancer and neurodevelopmental disorders: multi-scale reasoning and computational guide

R Nussinov, BR Yavuz, HC Demirel, MK Arici… - Frontiers in Cell and …, 2024 - frontiersin.org
The connection and causality between cancer and neurodevelopmental disorders have
been puzzling. How can the same cellular pathways, proteins, and mutations lead to …

[HTML][HTML] The use of single-cell RNA-Seq to understand virus–host interactions

S Cristinelli, A Ciuffi - Current opinion in virology, 2018 - Elsevier
Highlights•Single cell analyses reveal cell heterogeneity, often masked at population
level.•ScRNA-Seq identifies transcriptomic signatures hallmarking distinct cell …

Single-cell RNA sequencing analysis of human chondrocytes reveals cell–cell communication alterations mediated by interactive signaling pathways in osteoarthritis

X Kang, K Zhang, Y Wang, Y Zhao, Y Lu - Frontiers in cell and …, 2023 - frontiersin.org
Objective: Osteoarthritis (OA) is a common joint disorder characterized by degenerative
articular cartilage, subchondral bone remodeling, and inflammation. Increasing evidence …

MetaOmGraph: a workbench for interactive exploratory data analysis of large expression datasets

U Singh, M Hur, K Dorman, ES Wurtele - Nucleic acids research, 2020 - academic.oup.com
The diverse and growing omics data in public domains provide researchers with
tremendous opportunity to extract hidden, yet undiscovered, knowledge. However, the vast …

Analysis of cuproptosis-related lncRNA signature for predicting prognosis and tumor immune microenvironment in pancreatic cancer

HF Yao, DP Xu, JH Zheng, Y Xu, QY Jia, YH Zhu… - Apoptosis, 2023 - Springer
Pancreatic cancer (PC) is a highly malignant digestive tract tumor, with a dismal 5-year
survival rate. Recently, cuproptosis was found to be copper-dependent cell death. This work …