Create README.md

Author: jmohdyusof

Pilot1/NT3/README.md

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+The Pilot1 Benchmark 4, commonly referred to as NT3, is a 1D convolutional network for classifying RNA-seq gene expression profiles into normal or tumor tissue categories. 
+The network follows the classic architecture of convolutional models with multiple 1D convolutional layers interleaved with pooling layers followed by final dense layers. 
+The network can optionally use 1D locally connected layers in place of convolution layers as well as dropout layers for regularization. 
+The model is trained on the balanced 700 matched normal-tumor gene expression profile pairs available from the NCI genomic data commons. 
+The full set of expression features contains 60,483 float columns transformed from RNA-seq FPKM-UQ values. This model achieves around 98% classification accuracy. 
+It is useful for studying the difference and transformation of latent representation between normal and tumor tissues. 
+The model also acts as a quality control check for synthetically generated gene expression profiles.