le-ander
Computational Biologist working in the Machine Learning lab of Prof. Fabian Theis at Helmholtz Munich, Germany.
@theislab Munich, Germany
Pinned Repositories
batchglm
Fit generalized linear models in python.
diffxpy
Differential expression analysis for single-cell RNA-seq data.
epiScanpy
Episcanpy: Epigenomics Single Cell Analysis in Python
interactive_plotting
le-ander.github.io
MSc_Bioinfo-Experimental_Design
Using information theory to inform experimental design with GPU acceleration. Computing group project as part of the MSc in Bioinformatics and Theorectical Systems Biology at Imperial College London 2016/2017.
MSc_Bioinfo-Network_Inference
Network inference for gene expression using gradient matching. Final research project as part of the MSc in Bioinformatics and Theorectical Systems Biology at Imperial College London 2016/2017.
MSc_Bioinfo-Protonet
Inferring novel protein-protein interactions with deep learning. Data analysis project as part of the MSc in Bioinformatics and Theorectical Systems Biology at Imperial College London 2016/2017.
single-cell-tutorial
Single cell current best practices tutorial case study for the paper:Luecken and Theis, "Current best practices in single-cell RNA-seq analysis: a tutorial"
Udacity-face_generation-GAN
A Generative Adversarial Neural Network built in Pytorch for the generation of images showing realistic human faces as part of the Udacity Deep Learning Nanodegree.
le-ander's Repositories
le-ander/MSc_Bioinfo-Network_Inference
Network inference for gene expression using gradient matching. Final research project as part of the MSc in Bioinformatics and Theorectical Systems Biology at Imperial College London 2016/2017.
le-ander/MSc_Bioinfo-Experimental_Design
Using information theory to inform experimental design with GPU acceleration. Computing group project as part of the MSc in Bioinformatics and Theorectical Systems Biology at Imperial College London 2016/2017.
le-ander/batchglm
Fit generalized linear models in python.
le-ander/diffxpy
Differential expression analysis for single-cell RNA-seq data.
le-ander/epiScanpy
Episcanpy: Epigenomics Single Cell Analysis in Python
le-ander/interactive_plotting
le-ander/le-ander.github.io
le-ander/MSc_Bioinfo-Protonet
Inferring novel protein-protein interactions with deep learning. Data analysis project as part of the MSc in Bioinformatics and Theorectical Systems Biology at Imperial College London 2016/2017.
le-ander/single-cell-tutorial
Single cell current best practices tutorial case study for the paper:Luecken and Theis, "Current best practices in single-cell RNA-seq analysis: a tutorial"
le-ander/Udacity-face_generation-GAN
A Generative Adversarial Neural Network built in Pytorch for the generation of images showing realistic human faces as part of the Udacity Deep Learning Nanodegree.
le-ander/Udacity-bike_sharing_predicton-MLP
A feed-forward neural network implementation in Python and Numpy to build a predictor for bike sharing patterns as part of the Udacity Deep Learning Nanodegree.
le-ander/Udacity-deployment-sagemaker
Deploying a sentiment analysis model in a production environment using Amazon AWS SageMaker as part of the Udacity Deep Learning Nanodegree.
le-ander/Udacity-image_classification-CNN
A dog-breed classifier in Pytorch built using Convolutional Neural Networks as part of the Udacity Deep Learning Nanodegree.
le-ander/Udacity-script_generation-LSTM
A text generation engine for TV scripts. Built using Recurrent Neural Networks in Pytorch as part of the Udacity Deep Learning Nanodegree.