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Nearly optimal central limit theorem and bootstrap approximations in high dimensions
V Chernozhukov, D Chetverikov… - The Annals of Applied …, 2023 - projecteuclid.org
In this paper, we derive new, nearly optimal bounds for the Gaussian approximation to
scaled averages of n independent high-dimensional centered random vectors X 1,…, X n …
scaled averages of n independent high-dimensional centered random vectors X 1,…, X n …
Whole-transcriptome analysis of serum L1CAM-captured extracellular vesicles reveals neural and glycosylation changes in autism spectrum disorder
Y Qin, L Cao, J Zhang, H Zhang, S Cai, B Guo… - Journal of Molecular …, 2022 - Springer
The pathophysiology of autistic spectrum disorder (ASD) is not fully understood and there
are no diagnostic or predictive biomarkers. Extracellular vesicles (EVs) are cell-derived …
are no diagnostic or predictive biomarkers. Extracellular vesicles (EVs) are cell-derived …
Autism spectrum disorder: difficulties in diagnosis and microRNA biomarkers
B Martinez, PV Peplow - Neural regeneration research, 2025 - journals.lww.com
We performed a PubMed search for microRNAs in autism spectrum disorder that could serve
as diagnostic biomarkers in patients and selected 17 articles published from January 2008 …
as diagnostic biomarkers in patients and selected 17 articles published from January 2008 …
Age, sex, and apolipoprotein E isoform alter contextual fear learning, neuronal activation, and baseline DNA damage in the hippocampus
SW Boutros, B Zimmerman, SC Nagy, VK Unni… - Molecular …, 2023 - nature.com
Age, female sex, and apolipoprotein E4 (E4) are risk factors to develop Alzheimer's disease
(AD). There are three major human apoE isoforms: E2, E3, and E4. Compared to E3, E4 …
(AD). There are three major human apoE isoforms: E2, E3, and E4. Compared to E3, E4 …
Integrating rare variant genetics and brain transcriptome data implicates novel schizophrenia putative risk genes
S Han, M Gilmartin, W Sheng, VX ** - Schizophrenia Research, 2025 - Elsevier
The etiology of schizophrenia is elusive, in part due to its polygenic nature. Genome-wide
association studies (GWAS) have successfully identified hundreds of schizophrenia risk loci …
association studies (GWAS) have successfully identified hundreds of schizophrenia risk loci …
Measuring regulatory network inheritance in dividing yeast cells using ordinary differential equations
W Wu, T Kennedy, O Arguello-Miranda, KZ Lin - bioRxiv, 2024 - biorxiv.org
Quantifying the inheritance of regulatory networks among proteins during asymmetric cell
division remains a challenge due to the complexity of these systems and the lack of robust …
division remains a challenge due to the complexity of these systems and the lack of robust …
Whole-transcriptome analysis of serum neuron-derived exosomes reveals specific signature for autism spectrum disorder in Chinese children
Y Qin, L Cao, H Zhang, S Cai, J Zhang, B Guo, F Wu… - 2021 - researchsquare.com
Background Autism spectrum disorder (ASD) is a prevalent developmental disorder that
appears in early childhood and manifests repetitive behavioral and social deficits. Reported …
appears in early childhood and manifests repetitive behavioral and social deficits. Reported …
自闭症谱系障碍: 诊断困难和 microRNA 生物标志物
B Martinez, PV Peplow - **神经再生研究 (英文版), 2025 - sjzsyj.com.cn
We performed a PubMed search for microRNAs in autism spectrum disorder that could serve
as diagnostic biomarkers in patients and selected 17 articles published from January 2008 …
as diagnostic biomarkers in patients and selected 17 articles published from January 2008 …
[PDF][PDF] High-Dimensional Statistical Methods to Model Heterogeneity in Genomic Data
K Lin - kilthub.cmu.edu
Often in genomic studies, understanding the heterogeneity among the samples can be
helpful to address scientific questions directly, as well as to better understand how tomodel …
helpful to address scientific questions directly, as well as to better understand how tomodel …
[PDF][PDF] Previous Work
S Li - 2017 - tams.informatik.uni-hamburg.de
Previous Work Page 1 Previous Work Shuang Li Tel:+49 1634014785 E-mail: sli@informatik.uni-hamburg.de
2.May 2017 Page 2 Research Experience Path Planning for Unmanned Ground Vehicle and …
2.May 2017 Page 2 Research Experience Path Planning for Unmanned Ground Vehicle and …