Cell-type Annotation for Single-cell Transcriptomics using Deep Learning with a Weighted Graph Neural Network
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Updated
Jul 6, 2023 - Python
Cell-type Annotation for Single-cell Transcriptomics using Deep Learning with a Weighted Graph Neural Network
De novo construction of isoforms from long-read data
The source code and results for different methods on annotating external testing datsets of human and mouse.
Reference-free FASTQ filter for rare germline and somatic variants
ESKRIM is a reference-free tool that compares microbial richness in shotgun metagenomic samples by counting k-mers
HUMID: reference free FastQ deduplication
MUSTANG: reference-free MUlti-sample Spatial Transcriptomics data ANalysis with cross-sample transcriptional similarity Guidance
Example of an estimation of cell-type proportions using reference-free method (RefFreeEWAS)
De novo clustering of long transcript reads into genes
Alignment-free phylogenomic splits
A Nextflow pipeline to generate a phylogenetic tree from SKA alignment
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