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 ...
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. ...
Various BEC algorithms have been developed to accurately discriminate cell types from multiple scRNA-seq datasets3. However, the impact of batch effects on gene-based analysis such as differential expression (DE) analysis and the strategies to integrate DE analysis for scRNA-seq data remained under...
The option namedloggerin the options parameter of thecssLifecycleFactory()function can be used to control what gets logged to the browser's console from the CSS mounting algorithms. Its default value istrueand means "log to the console". If set tofalse, then nothing is logged to the console...
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 general lock-free doubly linked list, and only requires single-...
Benchmarking algorithms for gene regulatory network inference from single-cell transcriptomic data - a comparison of gene regulatory network inference methods using simulated and real single-cell RNA-seq datasets Similar lists and collections CrazyHotTommy's RNA-seq analysis list - Very broad list that...
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-...
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...
Integrating single-cell datasets produced by multiple omics technologies is essential for defining cellular heterogeneity. Mosaic integration, in which different datasets share only some of the measured modalities, poses major challenges, particularly regarding modality alignment and batch effect removal. Here...