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physics-brain-tumour-segmentation-project

Brain tumour segmentation and area calculation using convolutional neural networks

pinns

portfolioriskanalysis-montecarlo

Quantitative Risk Analysis of Stock Portfolio Using Monte Carlo Simulation: A Case Study

ppi_ml

ML models to predict PPI modulators activity

predoc-course

Kreshuk Lab's EMBL EIPP predoc course teaching material, each branch keeps the record of a specific season

product-demand-forecasting

Forecast demands of products at a manufacturing company using a real-life dataset from Kaggle

product-demand-forecasting-using-ml

Using machine learning to solve one of the most common problem of Supply Chain domain, i.e Demand Forecasting.

py

Repository to store sample python programs for python learning

pydeseq2

A Python implementation of the DESeq2 pipeline for bulk RNA-seq DEA.

pyliger

Python package for integrating and analyzing multiple single-cell datasets (A Python version of LIGER)

python_for_microscopists

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

qiime2

Official repository for the QIIME 2 framework.

racing

The random graph model to infer cell-cell communication networks based on bulk RNA-seq data. Contains the code used for the "Mathematically mapping the network of cells in the tumor microenvironment" paper.

sccomp

Testing differences in cell type proportions from single-cell data.

scfoundation

scgaac

scpml

share-topic

skforecast

Time series forecasting with machine learning models

smai

Alignability testing and integration of single-cell data

somalier

fast sample-swap and relatedness checks on BAMs/CRAMs/VCFs/GVCFs... "like damn that is one smart wine guy"

spacexr

Spatial-eXpression-R: Cell type identification (including cell type mixtures) and cell type-specific differential expression for spatial transcriptomics

sperm_detection_and_tracking

Sperm detection and tracking methods from this paper: https://arxiv.org/abs/2002.04034

staccato

Supervised Tensor Analysis tool for studying Cell-cell Communication using scRNA-seq data across multiple samples and conditions

stator

STATOR: A Nexflow pipeline to infer cell types, subtypes, and states from gene expression data.

stock-prices-prediction

tcr_classifier

Predicting T Cell Receptor Specificity with Deep Learning

teaching-dl-course-2019

EMBL Deep Learning course 2019 exercises and materials

teaching-dl-course-2022

Materials for the EMBL Deep Learning course

timeseries-forecasting