Some of the differences observed between the two bats may be caused by differences in the ability of single-cell technology to capture expressed genes, and orthogonal assays would be necessary to determine technology biases. Nonetheless, there appears to only be tissue bias, which is a common ...
ascMTNI takes as input a cell lineage tree and cell type-specific scRNA-seq data and cell type-specific prior networks derived from scATAC-seq datasets. If scATAC-seq data is not available, bulk or sequence-based prior networks can be used for the cell types. The output of scMTNI is a ...
lipolytica upon its OE, but under a different array of variables [39]. Our auxiliary studies on Δgzf1 genotype (Additional file 1: Fig. S1a) showed that it displays no effect on r-Prots synthesis [39], consistent with the results by [64]. Only its OE elicited the promoting phenotype...
Organic solar cells are called third generation cells, not only because of the date they came into existence in the world of solar cells but also because of the materials used to fabricate them. From this point of view they can be examined in a few different topics such as dye-sensitized ...
we discovered multiple neuronal and glial cell subtypes which were linked across both data sets for downstream analyses (Fig.1b). This parallel experimental design allowed us to minimize differences between the snRNA-seq and snATAC-seq assays, including technical variables and variability in cell typ...
(i.e. library size) as the explanatory variable to regress out the effect of sequencing depth. In this way, scTransform treats library size as a proxy for technical variables affecting gene count detection, such as RNA capture rate. In im-SRT, this may be confounded if gene count detection...
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Features were then reduced to the highly variable genes in the reference that are also present in the query dataset to be integrated. A model is trained using a variational autoencoder to produce a latent space, distributing cells among 30 latent variables. This trained model informs the ...
Multi-modal single cell RNA assays capture RNA content as well as other data modalities, such as spatial cell position or the electrophysiological properties of cells. Compared to dedicated scRNA-seq assays however, they may unintentionally capture RNA f
These latter two variables represent arbitrarily distributed continuous covariates. Continuous covariates Xi1, Xi3, and Xi4 are centered and scaled with zero mean and unit variance. Assuming Hardy Weinberg equilibrium, genotypes were generated using a categorical distribution with probabilities \({(1-{...