Combination of machine learning-based bulk and single-cell genomics reveals necroptosis-related molecular subtypes and immunological features in autism …

L Liu, Q Fu, H Ding, H Jiang, Z Zhan, Y Lai - Frontiers in Immunology, 2023 - frontiersin.org
Background Necroptosis is a novel form of controlled cell death that contributes to the
progression of various illnesses. Nonetheless, the function and significance of necroptosis in …

[HTML][HTML] Unraveling the role of disulfidptosis-related LncRNAs in colon cancer: a prognostic indicator for immunotherapy response, chemotherapy sensitivity, and …

H Chi, J Huang, Y Yan, C Jiang, S Zhang… - Frontiers in Molecular …, 2023 - ncbi.nlm.nih.gov
Background: Colon cancer, a prevalent and deadly malignancy worldwide, ranks as the third
leading cause of cancer-related mortality. Disulfidptosis stress triggers a unique form of …

[HTML][HTML] The error-related negativity predicts self-control failures in daily life

R Overmeyer, J Berghäuser, R Dieterich… - Frontiers in human …, 2021 - frontiersin.org
Adaptive behavior critically depends on performance monitoring (PM), the ability to monitor
action outcomes and the need to adapt behavior. PM-related brain activity has been linked …

Development of genomic phenotype and immunophenotype of acute respiratory distress syndrome using autophagy and metabolism-related genes

F Xia, H Chen, Y Liu, L Huang, S Meng, J Xu… - Frontiers in …, 2023 - frontiersin.org
Background Distinguishing ARDS phenotypes is of great importance for its precise
treatment. In the study, we attempted to ascertain its phenotypes based on metabolic and …

Immune-related gene signature associates with immune landscape and predicts prognosis accurately in patients with Wilms tumour

XM Tian, B Xiang, LM Jin, T Mi, JK Wang… - Frontiers in …, 2022 - frontiersin.org
Wilms tumour (WT) is the most common kidney malignancy in children. Chemoresistance is
the leading cause of tumour recurrence and poses a substantial therapeutic challenge …

Associating measles vaccine uptake classification and its underlying factors using an ensemble of machine learning models

MK Hasan, MT Jawad, A Dutta, MA Awal… - IEEE …, 2021 - ieeexplore.ieee.org
Measles is one of the significant public health issues responsible for the high mortality rate
around the globe, especially for developing countries. Using nationally representative …

Identification of diagnostic markers related to oxidative stress and inflammatory response in diabetic kidney disease by machine learning algorithms: Evidence from …

M Zhong, E Zhu, N Li, L Gong, H Xu, Y Zhong… - Frontiers in …, 2023 - frontiersin.org
Introduction Diabetic kidney disease (DKD) is a long-term complication of diabetes and
causes renal microvascular disease. It is also one of the main causes of end-stage renal …

Large-scale transcriptome sequencing in broiler chickens to identify candidate genes for breast muscle weight and intramuscular fat content

H Kang, D Zhao, H Xiang, J Li, G Zhao, H Li - Genetics Selection Evolution, 2021 - Springer
Background In broiler production, breast muscle weight and intramuscular fat (IMF) content
are important economic traits. Understanding the genetic mechanisms that underlie these …

[HTML][HTML] A data-driven optimization model for the workover rig scheduling problem: Case study in an oil company

IM Santos, S Hamacher, F Oliveira - Computers & Chemical Engineering, 2023 - Elsevier
After completion, oil wells often require intervention services to increase productivity, correct
oil flow losses, and solve mechanical failures. These interventions, known as workovers, are …

Integrated multiple microarray studies by robust rank aggregation to identify immune-associated biomarkers in Crohn's disease based on three machine learning …

ZA Chen, H Ma, Y Wang, H Tian, J Mi, DM Yao… - Scientific Reports, 2023 - nature.com
Crohn's disease (CD) is a complex autoimmune disorder presumed to be driven by complex
interactions of genetic, immune, microbial and even environmental factors. Intrinsic …