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1
Finding lncRNA-Protein Interactions Based on Deep Learning With Dual-Net Neural Architecture
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Finding lncRNA-Protein Interactions Based on Deep Learning With Dual-Net Neural Architecture

Peng, Lihong ; Wang, Chang ; Tian, Xiongfei ; Zhou, Liqian ; Li, Keqin

IEEE/ACM transactions on computational biology and bioinformatics, 2022-11, Vol.19 (6), p.3456-3468 [Periódico revisado por pares]

United States: IEEE

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2
Deep Learning for Automated Feature Discovery and Classification of Sleep Stages
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Deep Learning for Automated Feature Discovery and Classification of Sleep Stages

Sokolovsky, Michael ; Guerrero, Francisco ; Paisarnsrisomsuk, Sarun ; Ruiz, Carolina ; Alvarez, Sergio A.

IEEE/ACM transactions on computational biology and bioinformatics, 2020-11, Vol.17 (6), p.1835-1845 [Periódico revisado por pares]

United States: IEEE

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3
ClusterViz: A Cytoscape APP for Cluster Analysis of Biological Network
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ClusterViz: A Cytoscape APP for Cluster Analysis of Biological Network

Wang, Jianxin ; Zhong, Jiancheng ; Chen, Gang ; Li, Min ; Wu, Fang-xiang ; Pan, Yi

IEEE/ACM transactions on computational biology and bioinformatics, 2015-07, Vol.12 (4), p.815-822 [Periódico revisado por pares]

United States: IEEE

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4
Robust Feature Extraction for Geochemical Anomaly Recognition Using a Stacked Convolutional Denoising Autoencoder
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Robust Feature Extraction for Geochemical Anomaly Recognition Using a Stacked Convolutional Denoising Autoencoder

Xiong, Yihui ; Zuo, Renguang

Mathematical geosciences, 2022-04, Vol.54 (3), p.623-644 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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5
A multi-objective approach for unmanned aerial vehicle routing problem with soft time windows constraints
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A multi-objective approach for unmanned aerial vehicle routing problem with soft time windows constraints

Guerriero, F. ; Surace, R. ; Loscrí, V. ; Natalizio, E.

Applied mathematical modelling, 2014-02, Vol.38 (3), p.839-852 [Periódico revisado por pares]

Elsevier Inc

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6
FHAST: FPGA-Based Acceleration of Bowtie in Hardware
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FHAST: FPGA-Based Acceleration of Bowtie in Hardware

Fernandez, Edward B. ; Villarreal, Jason ; Lonardi, Stefano ; Najjar, Walid A.

IEEE/ACM transactions on computational biology and bioinformatics, 2015-09, Vol.12 (5), p.973-981 [Periódico revisado por pares]

United States: IEEE

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7
ZayyuNet - A Unified Deep Learning Model for the Identification of Epigenetic Modifications Using Raw Genomic Sequences
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ZayyuNet - A Unified Deep Learning Model for the Identification of Epigenetic Modifications Using Raw Genomic Sequences

Abbas, Zeeshan ; Tayara, Hilal ; Chong, Kil To

IEEE/ACM transactions on computational biology and bioinformatics, 2022-07, Vol.19 (4), p.2533-2544 [Periódico revisado por pares]

New York: IEEE

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8
Three-Dimensional Structural Geological Modeling Using Graph Neural Networks
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Three-Dimensional Structural Geological Modeling Using Graph Neural Networks

Hillier, Michael ; Wellmann, Florian ; Brodaric, Boyan ; de Kemp, Eric ; Schetselaar, Ernst

Mathematical geosciences, 2021-11, Vol.53 (8), p.1725-1749 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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9
Three-Dimensional Refined Modelling of Deep Structures by Using the Level Set Method: Application to the Zhaoping Detachment Fault, Jiaodong Peninsula, China
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Three-Dimensional Refined Modelling of Deep Structures by Using the Level Set Method: Application to the Zhaoping Detachment Fault, Jiaodong Peninsula, China

Wang, Jinli ; Mao, Xiancheng ; Peng, Cheng ; Chen, Jin ; Deng, Hao ; Liu, Zhankun ; Wang, Wensheng ; Fu, Zhengkai ; Wang, Chuntan

Mathematical geosciences, 2023-02, Vol.55 (2), p.229-262 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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Semi-Supervised Deep Learning for Cell Type Identification From Single-Cell Transcriptomic Data
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Semi-Supervised Deep Learning for Cell Type Identification From Single-Cell Transcriptomic Data

Dong, Xishuang ; Chowdhury, Shanta ; Victor, Uboho ; Li, Xiangfang ; Qian, Lijun

IEEE/ACM transactions on computational biology and bioinformatics, 2023-03, Vol.20 (2), p.1492-1505 [Periódico revisado por pares]

United States: IEEE

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