counts in peaks (rows) by cells (columns). To examine cell identity, cisTopic (50 topics)57was used for dimension reduction, followed by Louvain clustering. Progenitor populations were subclustered to obtain finer cell identity. The data were projected into two-dimensional space by UMAP58. Seu...
verbose=False) plot=Scatter() plot.add(problem.pareto_front(), plot_type="line", color="black", alpha=0.7) plot.add(res.F, color="red") plot.show()
(b) Unique fragments/cell vs single-cell TSS enrichment scatterplots and fragment size distribution plot for the two scATAC-seq time-points. (c) scRNA-seq UMAPs with time point (left panel) and cell fate information (right panel) projected. (d) Table summarizing clones identified in scRNA ...
First, as existing high-resolution MSI is throughput-limited, we integrate deep-learning approaches to enhance high-mass-resolving Fourier-transform MS (FTMS) acquisition by tenfold, enabling imaging of many tissue sections with brain-wide coverage and reconstruction of three-dimensional (3D) ...
Dimensionality Reduction: One of the primary goals of MixOmics is to reduce the dimensionality of high-dimensional data while preserving the most important information. It provides various techniques, such as Partial Least Squares (PLS), Canonical Correlation Analysis (CCA), and Sparse PLS, to achiev...
The closer the scatter plot is to the x = y line, the smaller the difference between MBD and MFBD analyses. To quantitatively compare the three performance metrics for each type, we calculated the Mean Absolute Percentage Error (MAPE) using Eq.(20). MAPE effectively expresses the ratio of ...
Standardisiertes Residuum und vorausgesagtes Plot: Ein Scatterplot zwischen den standardisierten Residuen und deren entsprechenden vorausgesagten Werten. Das Diagramm sollte dem Zufallsprinzip folgen und keine Muster oder Trends darstellen. Optionale Ausgaben Die folgenden ...
“matched” since cells from distinct modalities derive from a consistent joint latent space. Paneleshowcases the potential of using simulated data as an effective ground-truth to appraise single-cell data integration techniques. This perspective is reinforced in the panelf’s UMAP scatter plot, ...
b, Scatter plot relating the log fold changes of cell type frequency between EMT-high and EMT-low neighborhoods within samples as detected in cell-segmented MERFISH to the corresponding cell type frequency changes detected in the other indicated methods. The significance of differential cell type ...
The multi-dimensional data are saved by Micro-Manager to local storage of the control PC in TIFF format. The TIFF files are then read out and converted to zarr format where typically a five- to tenfold data compression is achieved through lossless compression. The zarr datasets are then trans...