Pinned Repositories
5MT003
Project in molecular techniques in life science at the Karolinska Institute. Part of the Master's course in Molecular Techniques in Life Science associated with the SciLifeLab and conducted at the Royal Institute of Technology (KTH), Karolinska Institute & Stockholm University.
BB2491
Project in high-throughput analysis of data from molecular biology experiments at KTH Royal Institute of Technology. Part of the Master's course in Molecular Techniques in Life Science associated with the SciLifeLab and conducted at the Royal Institute of Technology (KTH), Karolinska Institute & Stockholm University.
chromBPNet_preprocessing
Create training data for ChromBPNet from fragment files.
clinsim
Generative Adversarial Network (GAN) based clinical data simulator. The adversarial neural network is used to create simulated data from the original data distribution. Optional parameters can be passed to simulate data for a subset of the original data. The purpose is to generate data that has the same properties as original clinical data but no constraints on public sharing, thus providing a means of public reproduction of results, increase data availability and promote data integration.
cy2path
Factorial latent dynamic models trained on Markovian simulations of biological processes using single cell RNA sequencing data.
cytopath
Simulation based inference of differentiation trajectories from RNA velocity fields.
cytopath-notebooks
Demonstration of cytopath on publicly available single cell RNA sequencing datasets
insilico_sequence_design
Moduating gene expression via in-silico mutagenesis
KB8024
Project in protein topology prediction at Stockholm University. Part of the Master's course in Molecular Techniques in Life Science associated with the SciLifeLab and conducted at the Royal Institute of Technology (KTH), Karolinska Institute & Stockholm University.
gene_network_evaluation
Evaluation framework for computationally inferred gene networks from single-cell data.
aron0093's Repositories
aron0093/cytopath
Simulation based inference of differentiation trajectories from RNA velocity fields.
aron0093/cytopath-notebooks
Demonstration of cytopath on publicly available single cell RNA sequencing datasets
aron0093/KB8024
Project in protein topology prediction at Stockholm University. Part of the Master's course in Molecular Techniques in Life Science associated with the SciLifeLab and conducted at the Royal Institute of Technology (KTH), Karolinska Institute & Stockholm University.
aron0093/clinsim
Generative Adversarial Network (GAN) based clinical data simulator. The adversarial neural network is used to create simulated data from the original data distribution. Optional parameters can be passed to simulate data for a subset of the original data. The purpose is to generate data that has the same properties as original clinical data but no constraints on public sharing, thus providing a means of public reproduction of results, increase data availability and promote data integration.
aron0093/cy2path
Factorial latent dynamic models trained on Markovian simulations of biological processes using single cell RNA sequencing data.
aron0093/5MT003
Project in molecular techniques in life science at the Karolinska Institute. Part of the Master's course in Molecular Techniques in Life Science associated with the SciLifeLab and conducted at the Royal Institute of Technology (KTH), Karolinska Institute & Stockholm University.
aron0093/BB2491
Project in high-throughput analysis of data from molecular biology experiments at KTH Royal Institute of Technology. Part of the Master's course in Molecular Techniques in Life Science associated with the SciLifeLab and conducted at the Royal Institute of Technology (KTH), Karolinska Institute & Stockholm University.
aron0093/chromBPNet_preprocessing
Create training data for ChromBPNet from fragment files.
aron0093/cy2path_notebooks
aron0093/insilico_sequence_design
Moduating gene expression via in-silico mutagenesis
aron0093/integrated_pathway_analysis
Masters thesis project titled 'Personal Pathway Analysis as a means to integrate metabolomic and transcriptomic data in T2D intervention studies.' performed in Lukas Käll's group at Science for Life Lab, Stockholm
aron0093/ionisation_efficiency_predictor
A convolutional layer based autoencoder coupled with a deep neural network predicts the order of ionisation efficiencies for peptides, from their sequence and, therefore, can assist the quantification of peptides, thus improving its accuracy.
aron0093/scDIBS
Dynamical Integration of BatcheS
aron0093/KB8019
Project in comparitive genomics at Stockholm University. Part of the Master's course in Molecular Techniques in Life Science associated with the SciLifeLab and conducted at the Royal Institute of Technology (KTH), Karolinska Institute & Stockholm University.