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A deep ensemble model to predict miRNA-disease association

Scientific reports, 2017-11, Vol.7 (1), p.14482-13, Article 14482

2017

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A kernel-based multivariate feature selection method for microarray data classification

PloS one, 2014-07, Vol.9 (7), p.e102541-e102541

2014

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A successful hybrid deep learning model aiming at promoter identification

BMC bioinformatics, 2022-05, Vol.23 (Suppl 1), p.206-206, Article 206

2022

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IMAGE: high-powered detection of genetic effects on DNA methylation using integrated methylation QTL mapping and allele-specific analysis

Genome Biology, 2019-10, Vol.20 (1), p.220-18, Article 220

2019

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Predicting Social Emotions from Readers' Perspective

IEEE transactions on affective computing, 2019-04, Vol.10 (2), p.255-264

2019

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Recognition of alternatively spliced cassette exons based on a hybrid model

Biochemical and biophysical research communications, 2016-03, Vol.471 (3), p.368-372

2016

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TADfit is a multivariate linear regression model for profiling hierarchical chromatin domains on replicate Hi-C data

Communications biology, 2022-06, Vol.5 (1), p.608-608, Article 608

2022

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A binary particle swarm optimization algorithm inspired by multi-level organizational learning behavior

European journal of operational research, 2012-06, Vol.219 (2), p.224-233

2012

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Fast PageRank Computation Based on Network Decomposition and DAG Structure

IEEE access, 2018-01, Vol.6, p.41760-41770

2018

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A Simple Tuning Algorithm of Augmented Fuzzy Membership Functions

IEEE access, 2020, Vol.8, p.35805-35814

2020

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Extended information inference model for unsupervised categorization of web short texts

Journal of information science, 2012-12, Vol.38 (6), p.512-531

2012

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Splice sites prediction of Human genome using length-variable Markov model and feature selection

Expert systems with applications, 2010-04, Vol.37 (4), p.2771-2782

2010

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Integrated analysis of multimodal single-cell data with structural similarity

Nucleic acids research, 2022-11, Vol.50 (21), p.e121

2022

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Improving long-term electricity time series forecasting in smart grid with a three-stage channel-temporal approach

Journal of cleaner production, 2024-08, Vol.468, p.143051, Article 143051

2024

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Graph Neural Networks With High-Order Polynomial Spectral Filters

IEEE transaction on neural networks and learning systems, 2023-04, Vol.PP, p.1-14

2023

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Attentive Aspect Modeling for Review-Aware Recommendation

ACM transactions on information systems, 2019-07, Vol.37 (3), p.1-27

2019

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A multi-objective heuristic algorithm for gene expression microarray data classification

Expert systems with applications, 2016-10, Vol.59, p.13-19

2016

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Collaborative filtering recommendation algorithm based on user preference derived from item domain features

Physica A, 2014-02, Vol.396, p.66-76

2014

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Efficient and effective control of confounding in eQTL mapping studies through joint differential expression and Mendelian randomization analyses

Bioinformatics (Oxford, England), 2021-04, Vol.37 (3), p.296-302

2021

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Identifying the semantic orientation of terms using S-HAL for sentiment analysis

Knowledge-based systems, 2012-11, Vol.35, p.279-289

2012

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Global feature selection from microarray data using Lagrange multipliers

Knowledge-based systems, 2016-10, Vol.110, p.267-274

2016

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Differential expression analysis for RNAseq using Poisson mixed models

Nucleic acids research, 2017-06, Vol.45 (11), p.e106

2017

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Predicting DNA Methylation States with Hybrid Information Based Deep-Learning Model

IEEE/ACM transactions on computational biology and bioinformatics, 2020-09, Vol.17 (5), p.1721-1728

2020

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SAILER: scalable and accurate invariant representation learning for single-cell ATAC-seq processing and integration

Bioinformatics, 2021-07, Vol.37 (Supplement_1), p.i317-i326

2021

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Intra-hour solar irradiance forecasting using topology data analysis and physics-driven deep learning

Renewable energy, 2024-04, Vol.224, p.120138, Article 120138

2024

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A deep ensemble model to predict miRNA-disease association

A kernel-based multivariate feature selection method for microarray data classification

A successful hybrid deep learning model aiming at promoter identification

IMAGE: high-powered detection of genetic effects on DNA methylation using integrated methylation QTL mapping and allele-specific analysis

Predicting Social Emotions from Readers' Perspective

Recognition of alternatively spliced cassette exons based on a hybrid model

TADfit is a multivariate linear regression model for profiling hierarchical chromatin domains on replicate Hi-C data

A binary particle swarm optimization algorithm inspired by multi-level organizational learning behavior

Fast PageRank Computation Based on Network Decomposition and DAG Structure

A Simple Tuning Algorithm of Augmented Fuzzy Membership Functions

Extended information inference model for unsupervised categorization of web short texts

Splice sites prediction of Human genome using length-variable Markov model and feature selection

Integrated analysis of multimodal single-cell data with structural similarity

Improving long-term electricity time series forecasting in smart grid with a three-stage channel-temporal approach

Graph Neural Networks With High-Order Polynomial Spectral Filters

Attentive Aspect Modeling for Review-Aware Recommendation

A multi-objective heuristic algorithm for gene expression microarray data classification

Collaborative filtering recommendation algorithm based on user preference derived from item domain features

Efficient and effective control of confounding in eQTL mapping studies through joint differential expression and Mendelian randomization analyses

Identifying the semantic orientation of terms using S-HAL for sentiment analysis

Global feature selection from microarray data using Lagrange multipliers

Differential expression analysis for RNAseq using Poisson mixed models

Predicting DNA Methylation States with Hybrid Information Based Deep-Learning Model

SAILER: scalable and accurate invariant representation learning for single-cell ATAC-seq processing and integration

Intra-hour solar irradiance forecasting using topology data analysis and physics-driven deep learning

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