BIO_CYCLE Missing Value

Question

[wmei1997]

I'm currently using BIO_CYCLE to identify circadian genes. Base on the paper, it says that it can work with gene expression data with missing values.
However, I keep getting an error using BIO_CYCLE.
Does anyone know how to apply BIO_CYLE to the missing value gene expression dataset?

link to BIO_CYCLE http://circadiomics.igb.uci.edu/biocycle

Thank you

[Medhat]

However, I keep getting an error using BIO_CYCLE

Please add the error so people can understand what is actually happening.

[wmei1997]

Estimating Amplitude Error in if (denom == 0) { : missing value where TRUE/FALSE needed Calls: estimateAmplitude Execution halted

This is the error, it states that TRUE/FALSE is needed but then there's not a way for me to add TRUE/FALSE in the statement. These are the only options available. Options: -i INPUT_FILE, --input_file=INPUT_FILE The file that contains the IDs and timepoints. Timepoints should be of the form <optional_prefix><timepoint><optional_suffix>

    -o OUTPUT, --output=OUTPUT
            The output directory in which the output files produced by the program will be.

            This program outputs a file <output>/results.tsv which contains information such as the p values and, if periodic, the period of signal.

    --params_dir=PARAMS_DIR
            Directory to save parameters

    -p PVAL, --pval=PVAL
            P-value cutoff

    -s START_PERIOD, --start_period=START_PERIOD
            Specifying the starting period

    -e END_PERIOD, --end_period=END_PERIOD
            Specifying the ending period

    -m METHOD, --method=METHOD
            gp is gaussian processes, dnn is deep neural networks, knn is k nearest neighbors, MetaCycle isthe MetaCycle method

    -d DATASET, --dataset=DATASET
            function or gaussian

    -k KNN, --knn=KNN
            Specifying the number of neighbors to use for KNN

    --genDNN=GENDNN
            1 if use a general purpose DNN that can handle multiple different sampling frequencies, 0 otherwise

    --forceTrainBinaryDNN=FORCETRAINBINARYDNN
            1 if to train a neural network whether or not there is already one trained for binary classification periodic/aperiodc DNN

    --forceTrainPeriodDNN=FORCETRAINPERIODDNN
            1 if to train a neural network whether or not there is already one trained for DNN to estimate the period

    --knnEx=KNNEX
            Specifying the number of training examples to use for KNN

    -h, --help
            Show this help message and exit