Guidelines for bioinformatics of single-cell sequencing data analysis in Alzheimer's disease: review, recommendation, implementation and application

M Wang, W Song, C Ming, Q Wang, X Zhou… - Molecular …, 2022 - Springer
Alzheimer's disease (AD) is the most common form of dementia, characterized by
progressive cognitive impairment and neurodegeneration. Extensive clinical and genomic …

Omics in systems biology: current progress and future outlook

TD Veenstra - Proteomics, 2021 - Wiley Online Library
Biological research has undergone tremendous changes over the past three decades.
Research used to almost exclusively focus on a single aspect of a single molecule per …

Prediction models for conversion from mild cognitive impairment to Alzheimer's disease: a systematic review and meta-analysis

Y Chen, X Qian, Y Zhang, W Su, Y Huang… - Frontiers in Aging …, 2022 - frontiersin.org
Background and Purpose Alzheimer's disease (AD) is a devastating neurodegenerative
disorder with no cure, and available treatments are only able to postpone the progression of …

AD-BERT: Using pre-trained language model to predict the progression from mild cognitive impairment to Alzheimer's disease

C Mao, J Xu, L Rasmussen, Y Li, P Adekkanattu… - Journal of Biomedical …, 2023 - Elsevier
Objective We develop a deep learning framework based on the pre-trained Bidirectional
Encoder Representations from Transformers (BERT) model using unstructured clinical notes …

Data analysis with Shapley values for automatic subject selection in Alzheimer's disease data sets using interpretable machine learning

L Bloch, CM Friedrich… - Alzheimer's Research & …, 2021 - Springer
Background For the recruitment and monitoring of subjects for therapy studies, it is important
to predict whether mild cognitive impaired (MCI) subjects will prospectively develop …

The fusion of multi-omics profile and multimodal EEG data contributes to the personalized diagnostic strategy for neurocognitive disorders

Y Han, X Zeng, L Hua, X Quan, Y Chen, M Zhou… - Microbiome, 2024 - Springer
Background The increasing prevalence of neurocognitive disorders (NCDs) in the aging
population worldwide has become a significant concern due to subjectivity of evaluations …

A review of brain imaging biomarker genomics in Alzheimer's disease: implementation and perspectives

L Li, X Yu, C Sheng, X Jiang, Q Zhang, Y Han… - Translational …, 2022 - Springer
Alzheimer's disease (AD) is a progressive neurodegenerative disease with phenotypic
changes closely associated with both genetic variants and imaging pathology. Brain …

Non-coding RNAs in Alzheimer's disease: Perspectives from omics studies

E Wang, M Lemos Duarte, LE Rothman… - Human molecular …, 2022 - academic.oup.com
Neurodegenerative diseases such as Alzheimer's disease (AD) are characterized by the
progressive loss of neurons in the brain and the spinal cord. The pathophysiology of AD is …

Bioinformatics-based study reveals that AP2M1 is regulated by the circRNA-miRNA-mRNA interaction network and affects Alzheimer's disease

Q Zhang, B Chen, P Yang, J Wu, X Pang… - Frontiers in …, 2022 - frontiersin.org
Alzheimer's disease (AD) is a progressive neurological disease that worsens with time. The
hallmark illnesses include extracellular senile plaques caused by β-amyloid protein …

The promise of multi-omics approaches to discover biological alterations with clinical relevance in Alzheimer's disease

C Clark, M Rabl, L Dayon, J Popp - Frontiers in Aging Neuroscience, 2022 - frontiersin.org
Beyond the core features of Alzheimer's disease (AD) pathology, ie amyloid pathology, tau-
related neurodegeneration and microglia response, multiple other molecular alterations and …