Single-cell RNA sequencing technology in human spermatogenesis: Progresses and perspectives
H Jia, W Wang, Z Zhou, Z Chen, Z Lan, H Bo… - Molecular and Cellular …, 2023 - Springer
Spermatogenesis, a key part of the spermiation process, is regulated by a combination of
key cells, such as primordial germ cells, spermatogonial stem cells, and somatic cells, such …
key cells, such as primordial germ cells, spermatogonial stem cells, and somatic cells, such …
Research status and evolution trends of emergency information resource management: based on bibliometric analysis from 2003 to 2022
Q Cheng, S Zhang - International journal of disaster risk reduction, 2023 - Elsevier
As big data and artificial intelligence technologies are being increasingly applied in
emergency management activities, effective information resource management has become …
emergency management activities, effective information resource management has become …
[HTML][HTML] Elucidating salient site-specific functional connectivity features and site-invariant biomarkers in schizophrenia via deep neural networks
Schizophrenia is a highly heterogeneous disorder and salient functional connectivity (FC)
features have been observed to vary across study sites, warranting the need for methods …
features have been observed to vary across study sites, warranting the need for methods …
On the variability and dependence of human leg stiffness across strides during running and some consequences for the analysis of locomotion data
AM Selvitella, KL Foster - Royal Society Open Science, 2023 - royalsocietypublishing.org
Typically, animal locomotion studies involve consecutive strides, which are frequently
assumed to be independent with parameters that do not vary across strides. This …
assumed to be independent with parameters that do not vary across strides. This …
SSMDA: Semi-supervised multi-source domain adaptive autism prediction model using neuroimaging
M Mengi, D Malhotra - Biomedical Signal Processing and Control, 2024 - Elsevier
Autism spectrum disorder (ASD) is notoriously difficult to diagnose, despite having a high
prevalence. Recently, existing studies have turned to neuroimaging to enhance the clinical …
prevalence. Recently, existing studies have turned to neuroimaging to enhance the clinical …
USMDA: Unsupervised Multisource Domain Adaptive Adhdprediction Model Using Neuroimaging
M Mengi, D Malhotra - Available at SSRN 4603437 - papers.ssrn.com
There is an increasing number of large-scale cross-site database collections of
neuroimaging markers (sMRI and fMRI) for studying neurodevelopmental illnesses (NDDs) …
neuroimaging markers (sMRI and fMRI) for studying neurodevelopmental illnesses (NDDs) …