NormAE
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Batch effects removal method based on deep autoencoder and adversarial learning
I got the error: the settings of training: task: train meta_data: ./allearly_MSRT_knn_log.csv sample_data: ./batch1_6_alldata_order_batch_noqc.csv train_data: all save: ./result_noqc ae_encoder_units: [1000, 1000] ae_decoder_units: [1000, 1000] disc_b_units: [250, 250] disc_o_units: [250, 250]...
Hello, thank you for making this program available. I was able to get your adversarial autoencoder working, but it did require quite a bit of modification do so, namely 1....
Hi, I wanted to try your tool to normalize a large set of HPLC data run over multiple batches, but ran into this error message you can see below. I...
Hi there, I've been trying out the NormAE program for some data that I would like corrected for batch effects. Unfortunately I'm getting a "ConnectionRefusedError" among other messages by the...
Hello, I noticed you have an option for batch size in your code. Does this need to be specified? Is it possible to analyze studies that have batches with different...
Hi,I want to use your software,but I don’t know what is “name” in metabolomics_data,"group" and "class" in batch_information.I want to know the way how can I use this software. Thank...