Results 211 to 220 of about 23,313,531 (341)

Minimum information about a microarray experiment (MIAME)—toward standards for microarray data

open access: yesNature Genetics, 2001
A. Brazma   +23 more
semanticscholar   +1 more source

Clinical Significance of Copper Chaperone for Superoxide Dismutase in Colorectal Cancer

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background Targeting Cu transport proteins is an innovative therapeutic approach for combating cancer. However, the mechanisms underlying the malignant potential of Cu transport proteins remain largely unknown. To address this issue, we focused on the oncogenic potential of copper chaperones for superoxide dismutase (CCS) in colorectal cancer (
Nobuo Takiguchi   +15 more
wiley   +1 more source

Microarray data analysis: from disarray to consolidation and consensus

open access: yesNature reviews genetics, 2006
D. Allison   +3 more
semanticscholar   +1 more source

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

open access: yesAdvanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz   +2 more
wiley   +1 more source

Glycomic profiling of parathyroid neoplasms via lectin microarray analysis. [PDF]

open access: yesEndocrine
Zheng Q   +7 more
europepmc   +1 more source

RPSLearner: A Novel Approach Based on Random Projection and Deep Stacking Learning for Categorizing Non‐Small Cell Lung Cancer

open access: yesAdvanced Intelligent Systems, EarlyView.
Identifying non‐small cell lung cancer (NSCLC) subtypes is essential for precision cancer treatment. Conventional methods are laborious, or time‐consuming. To address these concerns, RPSLearner is proposed, which combines random projection and stacking ensemble learning for accurate NSCLC subtyping. RPSLearner outperforms state‐of‐the‐art approaches in
Xinchao Wu, Jieqiong Wang, Shibiao Wan
wiley   +1 more source

Microarray analysis of gene expression profile of multidrug resistance in pancreatic cancer

open access: gold, 2007
Yupei Zhao   +5 more
openalex   +1 more source

Parallel human genome analysis: microarray-based expression monitoring of 1000 genes.

open access: yesProceedings of the National Academy of Sciences of the United States of America, 1996
M. Schena   +5 more
semanticscholar   +1 more source

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