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GRACE: Graph autoencoder based single-cell clustering through ensemble similarity learning

PloS one, 2023-04, Vol.18 (4), p.e0284527-e0284527

2023

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F-Value Time-Frequency Analysis: Between-Within Variance Analysis

Frontiers in neuroscience, 2021-12, Vol.15, p.729449-729449

2021

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LSTM4piRNA: Efficient piRNA Detection in Large-Scale Genome Databases Using a Deep Learning-Based LSTM Network

International journal of molecular sciences, 2023-11, Vol.24 (21), p.15681

2023

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BCG Signal Quality Assessment Based on Time-Series Imaging Methods

Sensors (Basel, Switzerland), 2023-11, Vol.23 (23), p.9382

2023

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TOPAS: network-based structural alignment of RNA sequences

Bioinformatics (Oxford, England), 2019-09, Vol.35 (17), p.2941-2948

2019

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ClusterM: a scalable algorithm for computational prediction of conserved protein complexes across multiple protein interaction networks

BMC genomics, 2020-11, Vol.21 (Suppl 10), p.615-615, Article 615

2020

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NAPAbench 2: A network synthesis algorithm for generating realistic protein-protein interaction (PPI) network families

PloS one, 2020-01, Vol.15 (1), p.e0227598-e0227598

2020

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CUFID-query: accurate network querying through random walk based network flow estimation

BMC bioinformatics, 2017-12, Vol.18 (Suppl 14), p.500-500, Article 500

2017

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Accurate Single-Cell Clustering through Ensemble Similarity Learning

Genes, 2021-10, Vol.12 (11), p.1670

2021

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PRIME: a probabilistic imputation method to reduce dropout effects in single-cell RNA sequencing

Bioinformatics, 2020-07, Vol.36 (13), p.4021-4029

2020

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Effective Estimation of Node-to-Node Correspondence Between Different Graphs

IEEE signal processing letters, 2015-06, Vol.22 (6), p.661-665

2015

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IEEE_Xplore

Effective single-cell clustering through ensemble feature selection and similarity measurements

Computational biology and chemistry, 2020-08, Vol.87, p.107283-107283, Article 107283

2020

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Examining De Novo Transcriptome Assemblies via a Quality Assessment Pipeline

IEEE/ACM transactions on computational biology and bioinformatics, 2018-03, Vol.15 (2), p.494-505

2018

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IEEE_Xplore

Network-Based Structural Alignment of RNA Sequences Using TOPAS

Methods in molecular biology (Clifton, N.J.), 2023, Vol.2586, p.147

2023

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Special Issue Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC) Workshop (2022)

Journal of computational biology, 2023-07, Vol.30 (7), p.737-737

2023

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Effective comparative analysis of protein-protein interaction networks by measuring the steady-state network flow using a Markov model

BMC bioinformatics, 2016-10, Vol.17 (Suppl 13), p.395-395, Article 395

2016

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Resource Allocation for Uplink Multiuser OFDM Relay Networks with Fairness Constraints

VTC Spring 2009 - IEEE 69th Vehicular Technology Conference, 2009, p.1-5

2009

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IEEE_Xplore

Accurate multiple network alignment through context-sensitive random walk

BMC systems biology, 2015, Vol.9 Suppl 1 (Suppl 1), p.S7-S7

2015

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Preclinical Study of Human Bone Marrow-Derived Mesenchymal Stem Cells Using a 3-Dimensional Manufacturing Setting for Enhancing Spinal Fusion

Stem cells translational medicine, 2022-10, Vol.11 (10), p.1072-1088

2022

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SEQUOIA: significance enhanced network querying through context-sensitive random walk and minimization of network conductance

BMC systems biology, 2017-03, Vol.11 (Suppl 3), p.20-20, Article 20

2017

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Recent Advances in Biological Network Analysis: Comparative Network Analysis and Network Module Detection

1st Edition 2021, 2021

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De novo transcriptome assemblies and annotation for pacifie whiteleg shrimp

2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2014, p.1342-1343

2014

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Identifying molecular complexes in biological networks through context sensitive network querying

Proceedings of the 6th ACM Conference on bioinformatics, computational biology and health informatics, 2015, p.647-647

2015

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A novel context-sensitive random walk model for estimating node correspondence between two biological networks

Proceedings of the 5th ACM Conference on bioinformatics, computational biology, and health informatics, 2014, p.684-684

2014

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Effective Random Walk Models for Comparative Network Analysis

Recent Advances in Biological Network Analysis, p.27-44

Jeong, Hyundoo

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GRACE: Graph autoencoder based single-cell clustering through ensemble similarity learning

F-Value Time-Frequency Analysis: Between-Within Variance Analysis

LSTM4piRNA: Efficient piRNA Detection in Large-Scale Genome Databases Using a Deep Learning-Based LSTM Network

BCG Signal Quality Assessment Based on Time-Series Imaging Methods

TOPAS: network-based structural alignment of RNA sequences

ClusterM: a scalable algorithm for computational prediction of conserved protein complexes across multiple protein interaction networks

NAPAbench 2: A network synthesis algorithm for generating realistic protein-protein interaction (PPI) network families

CUFID-query: accurate network querying through random walk based network flow estimation

Accurate Single-Cell Clustering through Ensemble Similarity Learning

PRIME: a probabilistic imputation method to reduce dropout effects in single-cell RNA sequencing

Effective Estimation of Node-to-Node Correspondence Between Different Graphs

Effective single-cell clustering through ensemble feature selection and similarity measurements

Examining De Novo Transcriptome Assemblies via a Quality Assessment Pipeline

Network-Based Structural Alignment of RNA Sequences Using TOPAS

Special Issue Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC) Workshop (2022)

Effective comparative analysis of protein-protein interaction networks by measuring the steady-state network flow using a Markov model

Resource Allocation for Uplink Multiuser OFDM Relay Networks with Fairness Constraints

Accurate multiple network alignment through context-sensitive random walk

Preclinical Study of Human Bone Marrow-Derived Mesenchymal Stem Cells Using a 3-Dimensional Manufacturing Setting for Enhancing Spinal Fusion

SEQUOIA: significance enhanced network querying through context-sensitive random walk and minimization of network conductance

Recent Advances in Biological Network Analysis: Comparative Network Analysis and Network Module Detection

De novo transcriptome assemblies and annotation for pacifie whiteleg shrimp

Identifying molecular complexes in biological networks through context sensitive network querying

A novel context-sensitive random walk model for estimating node correspondence between two biological networks

Effective Random Walk Models for Comparative Network Analysis

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