Tonight on SMNN - YouTube
网页32 videos 1,848,709 views Last updated on Sep 1, 2024. Your only reliable news source. Play all. Cutting open the forbidden fruit 🥭. How much can it hold? 🥛. Sperm donors came …
Servicio Meteorológico Nacional.
网页Portal oficial del Servicio Meteorológico Nacional. 02 de Septiembre de 2024 Primavera 2024: según la última actualización del SMN, habrá condiciones más cálidas y pocas lluvias
GitHub - yycunc/SMNN: SMNN: Batch Effect Correction for …
网页Here, we propose SMNN for batch effect correction of scRNA-seq data via supervised mutual nearest neighbor detection. Specifically, SMNN either takes cluster/cell-type label information as input or infers cell types using scRNA-seq clustering, and it then detects mutual nearest neighbors within matched cell types and corrects batch effect ...
网页Our extensive evaluations in simulated and real datasets show that SMNN provides improved merging within the corresponding cell types across batches, leading to reduced differentiation across batches over MNN, Seurat v3 and LIGER. Furthermore, SMNN retains more cell-type-specific features, partially manifested
yycunc/iSMNN - GitHub
网页2020年10月29日 · Our previous developed batch effect correction method SMNN (Yang et al., Briefings in Bioinformatics, 2020) can be considered as a special case of iSMNN, where only one iteration is execute. Thus, users can also implement SMNN for batch effect correction using iSMNN function via simply defining …
Batch alignment of single-cell transcriptomics data using deep …
网页2023年2月21日 · Single-cell RNA sequencing (scRNA-seq) technology has been developed to characterize gene expression profiles at single-cell resolution, which improves the detection of known and novel cell...
SMNN: batch effect correction for single-cell RNA-seq data via ...
网页2021年5月20日 · To address this issue, we propose SMNN for batch effect correction of scRNA-seq data via supervised mutual nearest neighbor detection. Our extensive evaluations in simulated and real datasets show that SMNN provides improved merging within the corresponding cell types across batches, leading to reduced differentiation across batches over MNN ...
SMNN - University of North Carolina at Chapel Hill
网页SMNN is a flexible, accurate and robust method for batch effect correction of scRNA-seq data. SMNN performs batch effect correction via supervised mutual nearest neighbor detection. Specifically, in our current implementation, SMNN either takes cluster/cell-type label information as input or infers cell types using scRNA-seq clustering.
SMNN package tutorial
网页2019年5月24日 · With cell cluster label information, SMNN searches mutual nearest neighbors within each cell type, and performs batch effect correction using SMNN function. In this tutorial, we will perform batch effect correction using our SMNN package on a toy example of two batches.
SMNN: batch effect correction for single-cell RNA-seq data via ...
网页2020年6月26日 · SMNN takes a natural two-step approach to leverage cell-type label information for enhanced batch effect correction (Figure 1c and Supplementary Section 1). First, it takes the expression matrices across multiple batches as input and performs clustering separately for each batch.