A5008312959- Single-cell and spatial transcriptomics
- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
- Epigenetics and DNA Methylation
- Circadian rhythm and melatonin
- Metabolomics and Mass Spectrometry Studies
- Hormonal Regulation and Hypertension
- Cognitive Functions and Memory
- Cardiovascular Disease and Adiposity
- Asthma and respiratory diseases
- Medicinal Plants and Bioactive Compounds
- Sleep and related disorders
- Machine Fault Diagnosis Techniques
- Phytochemistry and Biological Activities
- Cognitive Abilities and Testing
- Plant-derived Lignans Synthesis and Bioactivity
- Engineering Diagnostics and Reliability
- Genetic Associations and Epidemiology
- Oil and Gas Production Techniques
Shanghai Jiao Tong University
2022-2025
Harbin Institute of Technology
2024
Lanzhou University
2003
Abstract Identifying spatially variable genes (SVGs) is crucial for understanding the spatiotemporal characteristics of diseases and tissue structures, posing a distinctive challenge in spatial transcriptomics research. We propose HEARTSVG, distribution-free, test-based method fast accurately identifying large-scale transcriptomic data. Extensive simulations demonstrate that HEARTSVG outperforms state-of-the-art methods with higher $${F}_{1}$$ <mml:math...
Brain anatomy plays a key role in complex behaviors and mental disorders that are sexually divergent. While our understanding of the sex differences brain remains relatively limited, particularly underlying genetic molecular mechanisms contribute to these differences. We performed largest study volumes (N = 33,208) by examining both raw after controlling whole volumes. Genetic correlation analysis revealed only left amygdala. compared transcriptome between males females using data from GTEx...
Circadian rhythms are crucial for regulating physiological and behavioral processes. Pineal hormone melatonin is often used to measure circadian amplitude but its collection costly time-consuming. Wearable activity data promising alternative, the most commonly measure, relative amplitude, subject masking. In this study, we firstly derive a feature named rhythm energy (CARE) better characterize validate CARE by correlating it with (Pearson's r = 0.46, P 0.007) among 33 healthy participants....
Abstract Identifying spatially variable genes (SVGs) is crucial for understanding the spatiotemporal characteristics of diseases and tissue structures, posing a distinctive challenge in spatial transcriptomics research. We propose HEARTSVG, distribution-free, test-based method fast accurately identifying large-scale transcriptomic data. Extensive simulations demonstrate that HEARTSVG outperforms state-of-the-art methods with higher F 1 scores (average score=0.903), improved computational...
Abstract Circadian rhythms play a critical role in regulating physiological and behavioral processes, with amplitude being key parameter for their characterization. However, accurately quantifying circadian natural settings remains challenge, as traditional melatonin methods require lab are often costly time-consuming. Wearable devices promising alternative they can collect consecutive 24-h data multiple days. The most commonly used measure of from wearable device data, relative amplitude,...
<title>Abstract</title> Identifying spatially variable genes (SVGs) is crucial for understanding the spatiotemporal characteristics of diseases and tissue structures, posing a distinctive challenge in spatial transcriptomics research. We propose HEARTSVG, distribution-free, test-based method fast accurately identifying large-scale transcriptomic data. Extensive simulations demonstrate that HEARTSVG outperforms state-of-the-art methods with higher...