TerminatorJ
I am a PhD student at the University of Copenhagen, interested in NLP/machine learning/deep learning, and their application in the biomedical fields
Pinned Repositories
BERTLocRNA
Using Large language model to predict localization
CRISPR-TRAP-seq
This is a ML learning model to predict the gRNA efficiency of trap-based editing system. eg.ABE, CBE, Cas9
DeepLocRNA
This is the counterpart of DeepLoc, but in RNA level
DeepRNAgenerator
This is used to generate optimized RNA for vaccine design
delfi_scripts
Find_cell_marker
This is a software for identifying the cell type for single cell analysing
GNL_Scorer
this is a software for sgRNA activity prediction with great generalization
Rankcomp
This is a learning framework to extract the DEG (Differential expression genes) by high fided gene pairs
Rankcomp2
A learning framework to get DEG(Differential expression genes)
RNA-localization
This repository can be used to data sharing, code sharing, and feedbacks
TerminatorJ's Repositories
TerminatorJ/GNL_Scorer
this is a software for sgRNA activity prediction with great generalization
TerminatorJ/DeepLocRNA
This is the counterpart of DeepLoc, but in RNA level
TerminatorJ/Find_cell_marker
This is a software for identifying the cell type for single cell analysing
TerminatorJ/CRISPR-TRAP-seq
This is a ML learning model to predict the gRNA efficiency of trap-based editing system. eg.ABE, CBE, Cas9
TerminatorJ/RNA-localization
This repository can be used to data sharing, code sharing, and feedbacks
TerminatorJ/BERTLocRNA
Using Large language model to predict localization
TerminatorJ/DeepRNAgenerator
This is used to generate optimized RNA for vaccine design
TerminatorJ/delfi_scripts
TerminatorJ/Rankcomp
This is a learning framework to extract the DEG (Differential expression genes) by high fided gene pairs
TerminatorJ/Rankcomp2
A learning framework to get DEG(Differential expression genes)
TerminatorJ/ABE_CBE_spCas9
Model with great generalization applied in the trap-ABE, trap-CBE, and trap-spCas9
TerminatorJ/cell2location
Comprehensive mapping of tissue cell architecture via integrated single cell and spatial transcriptomics (cell2location model)
TerminatorJ/CellphoneDB
CellPhoneDB can be used to search for a particular ligand/receptor, or interrogate your own HUMAN single-cell transcriptomics data.
TerminatorJ/cytoself
Self-supervised models for encoding protein localization patterns from microscopy images
TerminatorJ/Deep-Learning
TerminatorJ/DNABERT
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
TerminatorJ/GNL_script
The script of the paper
TerminatorJ/GNL_supplementary_script
TerminatorJ/graph-part
A biological sequence data partitioning method
TerminatorJ/hellow-world
this is my first time in github
TerminatorJ/ichorCNA
Estimating tumor fraction in cell-free DNA from ultra-low-pass whole genome sequencing.
TerminatorJ/IntroToML-scVAE
This is an instruction for scVAE about how it works and how to run the demo scripts
TerminatorJ/LLMbenchmarking
Benchmarking the language model in genomic and transcriptome level
TerminatorJ/RCTD
TerminatorJ/scDeepCluster
scDeepCluster for Single Cell RNA-seq data
TerminatorJ/ST_simulation
TerminatorJ/Trap-CRISPR
This is a ML learning model to predict the gRNA efficiency of trap-based editing system. eg.ABE, CBE, Cas9
TerminatorJ/Trap-seq-Data-Processing
The scripts of score comparison shown in the Trap-seq paper
TerminatorJ/UHCA
UHCA
TerminatorJ/Xenium_benchmarking
Code used to benchmark Xenium