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batchglm was developed in the context of diffxpy to allow fast model fitting for differential expression analysis for single-cell RNA-seq data. However, one can use batchglm or its concepts in other scenarios where over-determined GLMs are encountered. batchglm is based on TensorFlow
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# Installation
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1. Install tensorflow, see below.
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1. Install tensorflow, see below. Please use the pip installation if you are unsure.
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2. Clone the GitHub repository of batchglm.
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3. cd into the clone.
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4. pip install -e .
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You can install tensorflow via pip or via conda, both are also documented here: https://www.tensorflow.org/install/ .
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#### pip
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- CPU-only: <br/>
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`pip install tensorflow`
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`pip install tf-nightly`
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- GPU: <br/>
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`pip install tensorflow-gpu`
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`pip install tf-nightly-gpu`
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### Hardware-optimized tensorflow installation (compiling from source)
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Please refer to https://www.tensorflow.org/install/ .
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