SIMBA: single-cell embedding along with features - Springer Nature We show that SIMBA provides a single framework that allows diverse single-cell problems to be formulated in a unified way and thus simplifies the development of new analyses and extension to new single-cell modalities SIMBA is implemented as a comprehensive Python library (https: simba-bio readthedocs io ) less
SIMBA: single-cell embedding along with features - PubMed To address these shortcomings, here we present SIMBA, a graph embedding method that jointly embeds single cells and their defining features, such as genes, chromatin-accessible regions and DNA sequences, into a common latent space
SIMBA: SIngle-cell eMBedding Along with features - bioRxiv To address these current shortcomings, we present SIMBA, a graph embedding method that jointly embeds single cells and their defining features, such as genes, chromatin accessible regions, and transcription factor binding sequences into a common latent space
SIMBA: single-cell embedding along with features SIMBA is a single-cell embedding method that supports single- or multi-modality analyses It leverages recent graph embedding tech-niques13,14 to embed cells and genomic features into a
SIMBA: single-cell embedding along with features - ResearchGate To address these shortcomings, here we present SIMBA, a graph embedding method that jointly embeds single cells and their defining features, such as genes, chromatin-accessible regions and DNA
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