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-...
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. ...
2,12. Such ‘integrative analysis’ also enables the construction of a large-scale single-cell multimodal atlas, which is urgently needed to make full use of publicly available single-cell multimodal data. Such an atlas can serve as an encyclopedia, allowing researchers...
(adeep neural networksoftware) to run. Similarly, Intel announced an experimental chip called “Loihi”, which is designed based on neuromorphic technology that uses neurons instead oflogic gates. AI algorithms are known for time and computation complexity, thus requiring multiple central and ...
Previously known lock-free algorithms of deques are either based on non-available atomic synchronization primitives, only implement a subset of the functionality, or are not designed for disjoint accesses. Our algorithm is based on a doubly linked list, and only requires single-word compare-and-...
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...
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...
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 ...
Our results suggest that the single-cell RNA-seq clustering algorithms fall into distinct groups by performance, with the highest clustering quality on non-malignant cells achieved by three algorithms: Seurat, bigSCale and Cell Ranger. However, for malignant cells, two additional algorithms often ...
(n = 3) were incubated for 6 h with LPS, PMA or recombinant human IFNγ.d, Ability of different algorithms to identify gene programs associated with biological perturbations in the PBMC dataset. For select factors, mean per-donor cell scores are provided for T cells or innate ...