T-Test | Chart, Formula & Examples from Chapter 22 / Lesson 5 224K Learn to define what a t-test is. Discover the two-sample t-test and the unpaired t-test. Learn when to use a t-chart and how to find the t-value. See examples. Related...
" # create a new note in the folder named "sample" nb add sample/ nb add with no arguments or input will open the new, blank note in your environment's preferred text editor. You can change your editor using the $EDITOR environment variable or nb set editor. nb files are Markdown ...
The clustered Seurat object was import Monocle2 and differentialGeneTest function with CellType as full model in differential expression tests (fullModelFormulaStr) was used to calculate the variance in each gene’s expression across cells. The chosen variable genes were used to define a ...
Automatic cell type annotation methods are increasingly used in single-cell RNA sequencing (scRNA-seq) analysis due to their fast and precise advantages. However, current methods often fail to account for the imbalance of scRNA-seq datasets and ignore in
For each sample, all variant counts were normalized to the reads mapped to the transcriptome according to the following formula: $${\mathrm{Normalized}}\,{\mathrm{number}}\,{\mathrm{of}}\,{\mathrm{variants}}_{{\mathrm{sample}}\_i} = \frac{{{\mathrm{Number}}\,{\mathrm{of}}\,{\...
3). To better elucidate the single-cell transcriptome data between LI and no-LI patients, we employed scissor to correspond single-cell data to LI-specific phenotypes via TCGA-COAD bulk RNA-seq sample. We revealed 513 LI-related (LI+ cells) and 641 no-LI-related (LI− cells) cells (...
Some possible reasons of this result were due to poor alignment of expression profiles between the heterogenous scRNA-seq dataset and the TCGA data, which has limited sample numbers and cancer types. For the drug repurposing prediction, most of the tumor clusters are sensitive to several drugs, ...
Second, we used the“doubletFinder_v3” function in the DoubletFinder package (version 2.0.3) to exclude doublets from each sample, and the number of artificial doublets (pN) was set to 0.25 (McGinnis et al., 2019). Third, the “NormalizeData” function was used to normalize the data...
The recent emergence of multi-sample multi-condition single-cell multi-cohort studies allows researchers to investigate different cell states. The effective integration of multiple large-cohort studies promises biological insights into cells under differ
We showed a sample of such error in the section “Results on commonly preserved substructures”. For model training purposes, we can easily filter out incorrect substructures with golden reactants and only use correct substructures as the training data. The product molecule was represented multiple ...