A5045324437- Single-cell and spatial transcriptomics
- Neurobiology and Insect Physiology Research
- Light effects on plants
- Circadian rhythm and melatonin
- Gene expression and cancer classification
- Neuroinflammation and Neurodegeneration Mechanisms
- EEG and Brain-Computer Interfaces
- Bioinformatics and Genomic Networks
- Functional Brain Connectivity Studies
- Neural and Behavioral Psychology Studies
- RNA modifications and cancer
- Reinforcement Learning in Robotics
- Alzheimer's disease research and treatments
- Consumer Market Behavior and Pricing
- Health, Environment, Cognitive Aging
- Genomics and Rare Diseases
- RNA Research and Splicing
- Robot Manipulation and Learning
- Mental Health Research Topics
- Supply Chain and Inventory Management
- Immune cells in cancer
- Bayesian Methods and Mixture Models
- Parkinson's Disease Mechanisms and Treatments
- Neural dynamics and brain function
- Modular Robots and Swarm Intelligence
Beijing Children’s Hospital
2022-2025
Capital Medical University
2022-2025
Concordia University
2024-2025
Yale University
2017-2024
Emory University
2023-2024
Huazhong University of Science and Technology
2023
Google (United States)
2021
Bethune International Peace Hospital
2019-2020
Cornell University
2019
China Telecom (China)
2017
Over the past several years there has been a considerable research investment into learning-based approaches for tasks inspired by industrial manufacturing, but despite significant progress, these techniques have yet to be adopted in realworld.We argue that it is prohibitively large design space Deep Reinforcement Learning (DRL), rather than algorithmic limitations per se, are truly responsible this lack of adoption.Pushing mainstream requires paradigm which differs significantly from...
The advancement of single cell RNA-sequencing (scRNA-seq) technology has enabled the direct inference co-expressions in specific types, facilitating our understanding cell-type-specific biological functions. For this task, high sequencing depth variations and measurement errors scRNA-seq data present two significant challenges, they have not been adequately addressed by existing methods. We propose a statistical approach, CS-CORE, for estimating testing co-expressions, that explicitly models...
Parkinson’s disease (PD) is a prevalent neurodegenerative disorder, and recent evidence suggests that pathogenesis may be in part mediated by inflammatory processes, the molecular cellular architectures of which are largely unknown. To identify characterize selectively vulnerable brain cell populations PD, we performed single-nucleus transcriptomics unbiased proteomics to profile prefrontal cortex from postmortem human brains six individuals with late-stage PD age-matched controls. Analysis...
Abstract Alzheimer’s disease, the most common age-related neurodegenerative is closely associated with both amyloid-ß plaque and neuroinflammation. Two thirds of disease patients are females they have a higher risk. Moreover, women more extensive brain histological changes than men along severe cognitive symptoms neurodegeneration. To identify how sex difference induces structural changes, we performed unbiased massively parallel single nucleus RNA sequencing on control brains focusing...
ABSTRACT Pediatric patients of autosomal dominant early onset osteoporosis conferred by heterozygous mutation in the WNT1 (OMIM: 615221) were rarely reported, and therapy pediatrics is relatively inexperienced. The clinical genotypic characteristics treatment process four children with caused monoallelic variation analyzed. admitted from June 2023 to January 2024. All presented multiple vertebral compression fracture, two them experienced recurrent peripheral fragility fractures. age first...
This study aims to investigate the relationship between subjective performance evaluations on pilot trainees' aircraft control abilities and their brainwave dynamics reflected in results from EEG microstate analysis. Specifically, we seek identify correlations distinct patterns each dimension included flight evaluations, shedding light neurophysiological mechanisms underlying aviation expertise possible directions for future improvements training. Proficiency is crucial safety modern where...
Abstract Parkinson’s disease (PD) is a prevalent neurodegenerative disorder where recent evidence suggests pathogenesis may be mediated by inflammatory processes. The molecular architecture of the remains to fully elucidated. We performed single-nucleus transcriptomics and unbiased proteomics using postmortem tissue obtained from prefrontal cortex 12 individuals with late-stage PD age-matched controls. analyzed ∼80,000 nuclei identified eight major cell types, including brain-resident T...
Abstract When the dimension of data is comparable to or larger than number samples, principal components analysis (PCA) may exhibit problematic high-dimensional noise. In this work, we propose an empirical Bayes PCA method that reduces noise by estimating a joint prior distribution for components. EB-PCA based on classical Kiefer–Wolfowitz non-parametric maximum likelihood estimator estimation, distributional results derived from random matrix theory sample PCs and iterative refinement using...
Background: Lung cancer is one of the malignancies exhibiting fastest increase in morbidity and mortality, but cause not clearly understood. The goal this investigation was to screen identify relevant biomarkers lung cancer. Methods: Publicly available data sets, including GSE40275 GSE134381, were obtained from GEO database. repeatability test for done by principal component analysis (PCA), a GEO2R performed differentially expressed genes (DEGs), which all subjected enrichment analysis....
Abstract The objective of pilot training is to equip trainees with the knowledge, judgment, and skills maintain control an aircraft respond critical flight tasks. present research aims investigate changes in trainees’ cognitive levels during a process while they underwent basic maneuvers. EEG microstate analysis was applied together spectral power features quantitatively monitor under varied tasks different sessions on simulator. Not only could data provide measure complement current...
In this paper, we aimed to investigate the possible interactions between human brain and radiofrequency electromagnetic fields (EMF) with electroencephalogram (EEG) technique. Unlike previous studies which mainly focused on EMF effect local activities, attempted evaluate whether emitted from Long Term Evolution (LTE) devices can modulate functional connectivity of electrical activities. Ten subjects were recruited participate in a crossover, double-blind exposure experiment included two...
Inferring and characterizing gene co-expression networks has led to important insights on the molecular mechanisms of complex diseases. Most analyses date have been performed expression data collected from bulk tissues with different cell type compositions across samples. As a result, estimates only offer an aggregated view underlying regulations can be confounded by heterogeneity in compositions, failing reveal coordination that may distinct types. In this paper, we introduce flexible...
BACKGROUND:This study investigated the expression of BCL2 and BAX mRNA, inflammatory cytokines, interleukin-1β (IL-1β), IL-6, tumor necrosis factor-α (TNF-α), cardiac function in patients with chronic heart failure (CHF). The New York Heart Association (NYHA) Functional Classification measurement left ventricular ejection fraction (LVEF) evaluated function. MATERIAL AND METHODS:Patients CHF (n=60) due to coronary disease, hypertensive cardiomyopathy, healthy controls (n=30) were studied....
The inference of gene co-expressions from microarray and RNA-sequencing data has led to rich insights on biological processes disease mechanisms. However, the bulk samples analyzed in most studies are a mixture different cell types. As result, inferred confounded by varying type compositions across only offer an aggregated view regulations that may be distinct advancement single (scRNA-seq) technology enabled direct specific types, facilitating our understanding cell-type-specific functions....
Mapping enhancers and target genes in disease-related cell types has provided critical insights into the functional mechanisms of genetic variants identified by genomewide association studies (GWAS). However, most existing analyses rely on bulk data or cultured lines, which may fail to identify cell-type-specific genes. Recently, single-cell multimodal measuring both gene expression chromatin accessibility within same cells have enabled inference enhancer-gene pairs a context-specific...
<title>Abstract</title> Prenatal exposure to environmental hazards such as cadmium (Cd) and arsenic (As) can severely impair fetal lung development, leading lifelong adverse effects. As two of the most common toxic heavy metals, Cd pose significant risks pregnant women in many communities through food water consumption. We have shown that prenatal co-exposure at levels relevant human intake inhibits branching morphogenesis, yet cell type-specific mechanisms remain elusive. In this study, we...
Word representation learned from the analysis of natural language does not usually reflect true semantics words. The paper proposes a new method, named Visually Supervised Word2Vec (VS-Word2Vec) model to achieve relation words that are important in knowledge related tasks. Our method first computes visual feature vector based on deep networks, and then similarity matrix for all words, which we think reflects their semantics. VS-Word2Vec combines CBOW builds an optimization problem jointly...
In this paper, decision tree mining algorithm will be adopted, and the research focus on integrated learning of its parallel computing in Hadoop. By analyzing relevant data process crop planting, method pest diagnosis improved based parallelization random forests Hadoop platform that iterative algorithm. The results have certain theoretical significance application value for diseases pests China.
Abstract Functional connectomes (FCs), represented by networks or graphs that summarize coactivation patterns between pairs of brain regions, have been related at a population level to age, sex, cognitive/behavioral scores, life experience, genetics, and disease/disorders. However, quantifying FC differences individuals also provides rich source information with which map in those individuals' biology, genetics behavior. In this study, graph matching is used create novel inter‐individual...
A cardinal symptom of seasonal affective disorder (SAD, also known as winter depression) is hypersomnolence, while the cause this “winter sleepiness” not known. Here we found that lack circadian photoreceptor cryptochrome ( cry ) leads to increased sleep under short winter-like days in fruit flies, reminiscent hypersomnolence SAD. CRY functions neurons synthesize major inhibitory neurotransmitter GABA, including small ventral lateral which are be pacemakers, and down-regulates GABAergic...