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Stars
Robust Integration of Single-Cell Cytometry Datasets
Identifying reprogrammed metabolic routes given omics data.
A software resource to split a genomics, methylomics or trasncriptomics file into bins and select features within the bins using recursive feature elimination and machine learning
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
Containers on lambda using Python
This repository shows how to train an object detection algorithm with Detectron2 on Amazon SageMaker
Meta-pipeline to identify transposable element insertions using next generation sequencing data
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
CytoCompare: an R package for computational comparisons of cytometry profiles.
jamescasbon / PyVCF
Forked from jdoughertyii/PyVCFA Variant Call Format reader for Python.
A Python toolbox for quantitative, reproducible flow cytometry analysis
A game theoretic approach to explain the output of any machine learning model.
RNA sequencing analysis pipeline using STAR, RSEM, HISAT2 or Salmon with gene/isoform counts and extensive quality control.
Code and documentation for experiments in the TreeExplainer paper
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms