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## Setup | |
Sys.setenv(CUDA_VISIBLE_DEVICES='') | |
options(tensorflow.extract.warn_tensors_passed_asis = FALSE) | |
library(dplyr, warn.conflicts = FALSE) | |
library(purrr) | |
library(glue) | |
library(envir) | |
library(tensorflow) |
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library(keras) | |
library(reticulate) | |
layer_multiplicative_lstm <-function( | |
object, units, activation = "tanh", recurrent_activation = "hard_sigmoid", use_bias = TRUE, | |
return_sequences = FALSE, return_state = FALSE, go_backwards = FALSE, stateful = FALSE, unroll = FALSE, | |
kernel_initializer = "glorot_uniform", recurrent_initializer = "orthogonal", bias_initializer = "zeros", | |
unit_forget_bias = TRUE, kernel_regularizer = NULL, recurrent_regularizer = NULL, bias_regularizer = NULL, |
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__author__ = "Anand M" | |
''' | |
Takes output file generated by VarScan2 somatic programme and converts the formats. | |
''' | |
import argparse, math, re | |
parser = argparse.ArgumentParser( | |
description="Converts VarScan2 somatic vcf to native format and vice-versa.\nInput is automatically detected") |