Channels - An interpretable Graph-Regularized Optimal Transport Framework for Diagonal Single-Cell Integrative Analysis :: FRELIP Discovery

Similar Items: An interpretable Graph-Regularized Optimal Transport Framework for Diagonal Single-Cell Integrative Analysis

Quick Look
Hermitian Matrix Diagonalization and Its Symmetry Properties
Quick Look
On finite dimensional Nichols algebras of diagonal type
Quick Look
In situ tracking of glycoRNAs on single-cell surface to reveal RNA heterogeneity and transport mechanism
Quick Look
On regular power fuzzy graphs
Quick Look
Interactive analysis of single-cell trajectories in 3D space with Cell Journey
Quick Look
Integrative Proteomic and Phosphoproteomic Analysis Reveals Altered Vesicle Transport in Systemic Lupus Erythematosus
Quick Look
Integrating spatial and single-cell transcriptomics analysis reveals MYCN-UBE2C-TFRC signaling endows ferroptosis resistance in neuroectodermal tumors
Quick Look
CMDdemux: an efficient single cell demultiplexing method
Quick Look
RegularizedOptimization.jl: A Julia framework for regularized and nonsmooth optimization
Quick Look
Drug resistance of cancer cells is crucially affected by expression levels of ABC-transporters
Quick Look
scellop: a scalable redesign of cell population plots for single-cell data
Quick Look
Adaptive Diagonal Loading for Norm Constrained Beamforming
Quick Look
PICDGI: A framework for predicting cancer driver genes through dynamic gene-gene interaction modeling of single-cell data
Quick Look
Clathrin-independent endocytosis and retrograde transport in cancer cells tune immune synapse organization and CD8 T cell response
Quick Look
Connecting past and present: single-cell lineage tracing
Quick Look
Single-cell data integration across weakly linked modalities
Quick Look
Graph convolutional networks for inferring cell-cell communication from spatial transcriptomics data
Quick Look
Single-cell RNA sequencing reveals B cell-T cell interactions in vascular adventitia of hyperhomocysteinemia-accelerated atherosclerosis
Quick Look
DeepCE: a deep learning framework for correlation-enhanced gene regulatory network inference in single-cell RNA sequencing data
Quick Look
Charting immune variation through genetics and single-cell genomics
Quick Look
Sparse dimensionality reduction for analyzing single-cell-resolved interactions
Quick Look
Single-cell lineage tracing identifies hemogenic endothelial cells in the adult mouse bone marrow
Quick Look
Leveraging single-cell foundation models for accurate survival outcome prediction
Quick Look
Single-cell trajectory inference for detecting transient events in biological processes