Zhongyao Ma, PhD, holds a bachelor’s degree in biology from Shanghai Jiao Tong University and a PhD in genetics and developmental biology from the University of Georgia, U.S. His research focused on ...

Bulk RNA sequencing (RNA-seq) has substantially advanced the understanding of pituitary neuroendocrine tumors (PitNETs). However, its limited ability to resolve cellular heterogeneity – particularly ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Charge state deconvolution is essential for efficient and effective protein mass ...

Abstract: This paper presents a practical step-by-step approach to Frequency Modulated Continuous Wave (FMCW) radar nonlinearity correction (deconvolution), utilizing surface-based Ku- and Ka-band ...

This repository is a reproducibility study of Network Deconvolution; the original work proposed by Ye et al. (2020). This reproducibility study is conducted to evaluate the ability to reproduce the ...

This study makes a valuable contribution to spatial transcriptomics by rigorously benchmarking cell-type deconvolution methods, assessing their performance across diverse datasets with a focus on ...

Abstract: Blind deconvolution has been demonstrated to be an effective tool for rolling element bearing localized defect detection. However, the successful utilization of deconvolution methods largely ...

DeMixSC is a generalizable framework designed to leverage a small benchmark dataset for bulk RNA-seq deconvolution. Please refer to our accepted manuscript at Genome Research for details. Adjustment: ...

Here, we present a comprehensive and high-resolution tissue methylation atlas and a deep neural network (DNN)-based model named cfSort for quantifying tissue composition sensitively and robustly in ...