Results 101 to 110 of about 557,537 (198)

Integrating Single-Cell and Microarray Data to Explore the Role of Autophagy-Related Gene Atg7 in Osteoporosis. [PDF]

J Inflamm Res
Lin Z, Cheng Y, Tang Q, Zheng H, Li H, Lian Y.   +5 more
europepmc   +1 more source

Exploring the molecular mechanism underlying the psoriasis and T2D by using microarray data analysis. [PDF]

Sci Rep, 2023
Yang L, Zhang L, Du Q, Gong X, Tian J.
europepmc   +1 more source

Identifying Key Biomarkers in Celiac Disease through Analysis of Microarray Data. [PDF]

J Med Signals Sens
Vafadar A, Alashti SK, Alavimanesh S, Savardashtaki A.   +3 more
europepmc   +1 more source

Optimizing feature selection in cancer microarray data using a heap-driven evolutionary framework for high-dimensional spaces. [PDF]

Sci Rep
Alweshah M, Jebril H, Kassaymeh S, Almiani M, Alkhalaileh S, Rjoub G.   +5 more
europepmc   +1 more source

Unveiling complex patterns: An information-theoretic approach to high-order behaviors in microarray data. [PDF]

PLoS One
Lacalamita A, Monaco A, Serino G, Marinazzo D, Amoroso N, Bellantuono L, La Rocca M, Maggipinto T, Pantaleo E, Piccinno E, Scalavino V, Tangaro S, Giannelli G, Stramaglia S, Bellotti R.   +14 more
europepmc   +1 more source

A Hybrid Ensemble Equilibrium Optimizer Gene Selection Algorithm for Microarray Data. [PDF]

Biomimetics (Basel)
Su P, Zhao Y, Li X, Ma Z, Wang H.
europepmc   +1 more source

Classification of cancer cells and gene selection based on microarray data using MOPSO algorithm. [PDF]

J Cancer Res Clin Oncol, 2023
Rahimi MR, Makarem D, Sarspy S, Mahdavi SA, Albaghdadi MF, Armaghan SM.   +5 more
europepmc   +1 more source

Integrating image processing with deep convolutional neural networks for gene selection and cancer classification using microarray data. [PDF]

Sci Rep
Zhang Y, Chen J, Zhang C.
europepmc   +1 more source

Repurposing Normal Chromosomal Microarray Data to Harbor Genetic Insights into Congenital Heart Disease. [PDF]

Biology (Basel), 2023
Walton NA, Nguyen HH, Procknow SS, Johnson D, Anzelmi A, Jay PY.   +5 more
europepmc   +1 more source

Adaptive fuzzy cluster-guided simple, fast, and efficient feature selection for high-dimensional and highly imbalanced binary-class bioinformatics microarray data. [PDF]

Sci Rep
Tye YW, Chew X, Yusof UK, Tulpar S.
europepmc   +1 more source