Search Results for author: Seonwoo Min

Found 7 papers, 4 papers with code

TargetNet: Functional microRNA Target Prediction with Deep Neural Networks

1 code implementation23 Jul 2021 Seonwoo Min, Byunghan Lee, Sungroh Yoon

In this paper, we introduce TargetNet, a novel deep learning-based algorithm for functional miRNA target prediction.

Pre-Training of Deep Bidirectional Protein Sequence Representations with Structural Information

1 code implementation25 Nov 2019 Seonwoo Min, Seunghyun Park, Siwon Kim, Hyun-Soo Choi, Sungroh Yoon

PLUS consists of masked language modeling and a complementary protein-specific pre-training task, namely same family prediction.

Language Modelling

Deep Recurrent Neural Network-Based Identification of Precursor microRNAs

1 code implementation NeurIPS 2017 Seunghyun Park, Seonwoo Min, Hyun-Soo Choi, Sungroh Yoon

MicroRNAs (miRNAs) are small non-coding ribonucleic acids (RNAs) which play key roles in post-transcriptional gene regulation.

Polyphonic Music Generation with Sequence Generative Adversarial Networks

1 code implementation31 Oct 2017 Sang-gil Lee, Uiwon Hwang, Seonwoo Min, Sungroh Yoon

We propose an application of sequence generative adversarial networks (SeqGAN), which are generative adversarial networks for discrete sequence generation, for creating polyphonic musical sequences.

Sound Audio and Speech Processing

Neural Universal Discrete Denoiser

no code implementations NeurIPS 2016 Taesup Moon, Seonwoo Min, Byunghan Lee, Sungroh Yoon

We present a new framework of applying deep neural networks (DNN) to devise a universal discrete denoiser.


deepMiRGene: Deep Neural Network based Precursor microRNA Prediction

no code implementations29 Apr 2016 Seunghyun Park, Seonwoo Min, Hyun-Soo Choi, Sungroh Yoon

Since microRNAs (miRNAs) play a crucial role in post-transcriptional gene regulation, miRNA identification is one of the most essential problems in computational biology.

Feature Engineering

Deep Learning in Bioinformatics

no code implementations21 Mar 2016 Seonwoo Min, Byunghan Lee, Sungroh Yoon

In the era of big data, transformation of biomedical big data into valuable knowledge has been one of the most important challenges in bioinformatics.

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