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Search results for deep learning single cell
deep-learning
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single-cell
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18 search results found
Scarches
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294
Reference mapping for single-cell genomics
Glue
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294
Graph-linked unified embedding for single-cell multi-omics data integration
Dance
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284
DANCE: A Deep Learning Library and Benchmark Platform for Single-Cell Analysis
Scgen
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215
Single cell perturbation prediction
Deepcpg
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108
Deep neural networks for predicting CpG methylation
Scdeepsort
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93
Cell-type Annotation for Single-cell Transcriptomics using Deep Learning with a Weighted Graph Neural Network
Cell_blast
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74
A BLAST-like toolkit for large-scale scRNA-seq data querying and annotation.
Scalex
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55
Online single-cell data integration through projecting heterogeneous datasets into a common cell-embedding space
Trvae
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53
Conditional out-of-distribution prediction
Scvae
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52
Deep learning for single-cell transcript counts
Slat
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52
Spatial-Linked Alignment Tool
Fava
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23
Functional Associations using Variational Autoencoders
Scdeepcluster_pytorch
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22
Pytorch implementation of scDeepCluster for Single Cell RNA-seq data
Deepcycle
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19
Cell cycle inference in single-cell RNA-seq
Sisua
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16
SemI-SUpervised generative Autoencoder models for single cell data
Disc
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7
A highly scalable and accurate inference of gene expression and structure for single-cell transcriptomes using semi-supervised deep learning.
Nvtk
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6
NvTK (NvwaToolKit), is a systemmatic and easy-using deep learning software in single-cell genomics.
Genomap
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5
Cartography of Genomic Interactions Enables Deep Analysis of Single-Cell Expression Data (Nature Communications, 2023)
Digitaldlsorter
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5
digitalDLSorteR: An R package to deconvolute bulk RNA-Seq using scRNA-Seq data
Scdeepsort_performance_comparison
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5
The source code and results for different methods on annotating external testing datsets of human and mouse.
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1-18 of 18 search results
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