Editorial of Special Issue “Deep Learning and Machine Learning in Bioinformatics” von Kang, Mingon, Oh, Jung Hun

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PASNet: pathway-associated sparse deep neural network for prognosis prediction from high-throughput data von Hao, Jie, Kim, Youngsoon, Kim, Tae-Kyung, Kang, Mingon

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Hi-LASSO: High-performance python and apache spark packages for feature selection with high-dimensional data von Jo, Jongkwon, Jung, Seungha, Park, Joongyang, Kim, Youngsoon, Kang, Mingon

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Hi-LASSO: High-performance python and apache spark packages for feature selection with high-dimensional data von Jongkwon Jo, Seungha Jung, Joongyang Park, Youngsoon Kim, Mingon Kang

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Interpretable deep neural network for cancer survival analysis by integrating genomic and clinical data von Hao, Jie, Kim, Youngsoon, Mallavarapu, Tejaswini, Oh, Jung Hun, Kang, Mingon

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Deep learning-based framework for slide-based histopathological image analysis von Kosaraju, Sai, Park, Jeongyeon, Lee, Hyun, Yang, Jung Wook, Kang, Mingon

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Molecular insights into regulatory RNAs in the cellular machinery von Yang, Sumin, Kim, Sung-Hyun, Yang, Eunjeong, Kang, Mingon, Joo, Jae-Yeol

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Harnessing deep learning into hidden mutations of neurological disorders for therapeutic challenges von Yang, Sumin, Kim, Sung-Hyun, Kang, Mingon, Joo, Jae-Yeol

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Trends of emergency department visits for cannabinoid hyperemesis syndrome in Nevada: An interrupted time series analysis von Soh, Jaeseung, Kim, Yonsu, Shen, Jay, Kang, Mingon, Chaudhry, Stefan, Chung, Tae Ha, Kim, Seo Hyun, Hwang, Yena, Lim, Daniel, Khattak, Adam, Frimer, Leora, Yoo, Ji Won

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Hi-LASSO: High-Dimensional LASSO von Kim, Youngsoon, Hao, Jie, Mallavarapu, Tejaswini, Park, Joongyang, Kang, Mingon

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Multi-layered self-attention mechanism for weakly supervised semantic segmentation von Yaganapu, Avinash, Kang, Mingon

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Text Mining and Sentiment Analysis for Predicting Box Office Success von Kim, Yoosin, Kang, Mingon, Jeong, Seung Ryul

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Potent of strategic approaches for tauopathies ranging from single-cell transcriptome to microbiome von Kim, Sung-Hyun, Yang, Sumin, Yang, Eunjeong, Kang, Mingon, Joo, Jae-Yeol

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A roadmap for multi-omics data integration using deep learning von Kang, Mingon, Ko, Euiseong, Mersha, Tesfaye B

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Rethinking the Weakness of Stream Ciphers and Its Application to Encrypted Malware Detection von Stone, William, Kim, Daeyoung, Kemmoe, Victor Youdom, Kang, Mingon, Son, Junggab

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Integration of Multi-omics Data for Expression Quantitative Trait Loci (eQTL) Analysis and eQTL Epistasis von Kang, Mingon, Gao, Jean

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PGNets: planet mass prediction using convolutional neural networks for radio continuum observations of protoplanetary discs von Zhang, Shangjia, Zhu, Zhaohuan, Kang, Mingon

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Racial and Ethnic Disparity in 4Ms among Older Adults Among Telehealth Users as Primary Care von Yoo, Ji Won, Kang, Hee-Taik, Choe, Ian, Kim, Laurie, Han, Dong-Hun, Shen, Jay J., Kim, Yonsu, Reed, Peter S., Ioanitoaia-Chaudhry, Iulia, Chong, Maria Teresa, Kang, Mingon, Reeves, Jerry, Tabrizi, Maryam

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Stable solution to l 2,1 -based robust inductive matrix completion and its application in linking long noncoding RNAs to human diseases von Biswas, Ashis Kumer, Kim, Dongchul, Kang, Mingon, Ding, Chris, Gao, Jean X

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Multi-Block Bipartite Graph for Integrative Genomic Analysis von Mingon Kang, Juyoung Park, Dong-Chul Kim, Biswas, Ashis K., Chunyu Liu, Gao, Jean

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