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Literature
同步
16s
A_needRead
alignment
b_bulkRNA-seq
alternative splicing
assembly
bulkRNA-seq article
review
b_scRNA-seq
cell type annotation
cell-cell communication
immune cell
integration
regulatory information
scRNASeq-method
seurat
trajectory inference
book
Epigenetic
WGBS
lncRNA
machine learning
biology
Dimensionality reduction for biology
metagenomic
assembly
binning
db
Kraken
MetaPhlAn
Pathogen
zh
miRNA
mNGS
other
a_mendely
databases
immune
Macrophages
mutation
ncRNA
reading
report
temp
amplicon
course
metabolomics
method
microorganism
Prognostic Model
project
Quantification
16S
RNA-seq
technique
batch
Cell Type Enrichment
cluster
correlation
DEG
enrichment
regression
Transcriptomics Metabolomics
tools
wes
deep learning
bigdata
Untitled
diet
A comparison of single-cell trajectory inference methods
VMAT5AS9
111
PseudotimeDE: inference of differential gene expression along cell pseudotime with well-calibrated p-values from single-cell RNA sequencing data
DHEBJCAS
111
Reversed graph embedding resolves complex single-cell trajectories
EZNJ6FBX
111
RNA velocity of single cells
JDRD7TCS
111
Single-cell generalized trend model (scGTM): a flexible and interpretable model of gene expression trend along cell pseudotime
9YFFTKVI
111
Single-cell mRNA quantification and differential analysis with Census
2Y48UAJ5
111
Slingshot: cell lineage and pseudotime inference for single-cell transcriptomics
F7EH423P
111
Temporal modelling using single-cell transcriptomics
2RNA6N5N
111
The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells
HP5H7LT8
111
The single-cell transcriptional landscape of mammalian organogenesis
Z4GW3AQX
111