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: ...
Abstract: In this paper, a single-input multiple-output (SIMO) channel model is introduced for the deconvolution process of ultrasound imaging; the ultrasound pulse is the single system input and ...
Abstract: Conventional deconvolution methods utilize hand-crafted image priors to constrain the optimization. While deep-learning-based methods have simplified the optimization by end-to-end training, ...
Department of Biological and Chemical Engineering, Gunma University, Kiryu, Gunma 376-8515, Japan, Department of Physics, Gunma University, Maebashi, Gunma 371-8510, Japan, and Department of Chemistry ...
Cooperative Institute for Research in Environmental Sciences (CIRES) and Department of Chemistry and Biochemistry, 216 UCB, University of Colorado-Boulder, Boulder, Colorado 80309-0216, School of ...
This model is able to accurately deconvolve bulk RNA-seq data into cell fractions and predict cell-type-specific gene expression at cell-type level based on scRNA-seq data. related article Deep ...
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