Benchmarking algorithms for pathway activity transformation of single-cell RNA-seq data. Comput. Struct. Biotechnol. J. 18, 2953–2961 (2020). Article CAS PubMed Central PubMed Google Scholar Pijuan-Sala, B. et al. A single-cell molecular map of mouse gastrulation and early organogenesis. ...
However, most single-pass CCA algorithms in the literature inhibit maximum streaming throughput as additional time such as horizontal blanking period is required to resolve label equivalence. This paper proposes a novel single-pass CCA algorithm, using a combination of linked list and run-length-...
Although we incorporated routines in our algorithms to preserve the most elementary chemical properties like aromaticity or stereoisomerism, there is no guarantee that the substructures we ultimately derived corresponded to known functional groups, nor can we use the substructures to explain the ...
single-pass algorithms were introduced to enable a stream-oriented hardware design. However, most single-pass CCA algorithms in the literature inhibit maximum
Cylance’s primary strength is the use of agent-side machine-learning-trained algorithms to detect file-based malware instead of signature databases. This approach avoids the maintenance and network burden of daily updates, is more effective at detecting known and unknown malware, and doesn’t requi...
Batch correction algorithms are usually evaluated by comparing their ability to integrate cells coming from the same cell type but different batches, using the silhouette score, the adjusted rand index (ARI), and adjusted mutual information (AMI). DISCERN often outperforms all competing methods across...
Supports multiple algorithms to estimate the simplification error. Interactive GUI Bounding convex decomposition: Generate a set of convex bodies to approximate a mesh Algorithms operate on a voxel representation Greedy splitting along axis-aligned planes (inspired byV-HACD) ...
Finally, we used this expanded clone-cell graph as input for dimensionality reduction algorithms such as uniform manifold approximation and projection (UMAP)19 or ForceAtlas20 to produce a single 2D-embedding of the data, where both cells and clones are represented by individual points. We applied...
recovered weaker transcription factor motif signatures. Bio-Rad ddSEQ fragments were also less specific to TSS-distal accessible sites, which could also contribute to reduced integration capacity with other methods, an effect that could only partially be resolved using batch effect correction algorithms....
Indeed, RNA velocity has been successfully incorporated into algorithms for inferring fate probabilities [17], gene regulatory networks [18], differentiation trajectories [19,20,21], and embeddings [22]. However, it is still unclear whether integrating spliced gene expression with either unspliced ...