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Autoreservoir computing for multistep ahead prediction based on the spatiotemporal information transformation

Nature communications, 2020-09, Vol.11 (1), p.4568-4568, Article 4568

2020

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Cell-specific network constructed by single-cell RNA sequencing data

Nucleic acids research, 2019-06, Vol.47 (11), p.e62

2019

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Deep-joint-learning analysis model of single cell transcriptome and open chromatin accessibility data

Briefings in bioinformatics, 2021-07, Vol.22 (4)

2021

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Part mutual information for quantifying direct associations in networks

Proceedings of the National Academy of Sciences - PNAS, 2016-05, Vol.113 (18), p.5130-5135

2016

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Personalized characterization of diseases using sample-specific networks

Nucleic acids research, 2016-12, Vol.44 (22), p.e164

2016

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Early Diagnosis of Complex Diseases by Molecular Biomarkers, Network Biomarkers, and Dynamical Network Biomarkers

Medicinal research reviews, 2014-05, Vol.34 (3), p.455-478

2014

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Single-sample landscape entropy reveals the imminent phase transition during disease progression

Bioinformatics, 2020-03, Vol.36 (5), p.1522-1532

2020

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Forecasting the Wind Generation Using a Two-Stage Network Based on Meteorological Information

IEEE transactions on energy conversion, 2009-06, Vol.24 (2), p.474-482

2009

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Dynamic network biomarker indicates pulmonary metastasis at the tipping point of hepatocellular carcinoma

Nature communications, 2018-02, Vol.9 (1), p.678-14, Article 678

2018

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Competitive endogenous RNA is an intrinsic component of EMT regulatory circuits and modulates EMT

Nature communications, 2019-04, Vol.10 (1), p.1637-12, Article 1637

2019

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Partial cross mapping eliminates indirect causal influences

Nature communications, 2020-05, Vol.11 (1), p.2632-2632, Article 2632

2020

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Randomly distributed embedding making short-term high-dimensional data predictable

Proceedings of the National Academy of Sciences - PNAS, 2018-10, Vol.115 (43), p.E9994-E10002

2018

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Dynamical network biomarkers: Theory and applications

Gene, 2022-01, Vol.808, p.145997-145997, Article 145997

2022

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A randomized controlled trial for response of microbiome network to exercise and diet intervention in patients with nonalcoholic fatty liver disease

Nature communications, 2022-05, Vol.13 (1), p.2555-2555, Article 2555

2022

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Detecting early-warning signals for sudden deterioration of complex diseases by dynamical network biomarkers

Scientific reports, 2012-03, Vol.2 (1), p.342-342, Article 342

2012

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Short-Term Load Forecasting Using Comprehensive Combination Based on Multimeteorological Information

IEEE transactions on industry applications, 2009-07, Vol.45 (4), p.1460-1466

2009

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Big Biological Data: Challenges and Opportunities

Genomics, proteomics & bioinformatics, 2014-10, Vol.12 (5), p.187-189

2014

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PWCDA: Path Weighted Method for Predicting circRNA-Disease Associations

International journal of molecular sciences, 2018-10, Vol.19 (11), p.3410

2018

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Biomolecular Networks: Methods and Applications in Systems Biology

1. Aufl., 2009

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Quantifying critical states of complex diseases using single-sample dynamic network biomarkers

PLoS computational biology, 2017-07, Vol.13 (7), p.e1005633-e1005633

2017

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Predicting local COVID-19 outbreaks and infectious disease epidemics based on landscape network entropy

Science bulletin, 2021-11, Vol.66 (22), p.2265-2270

2021

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Elucidating tumor heterogeneity from spatially resolved transcriptomics data by multi-view graph collaborative learning

Nature communications, 2022-10, Vol.13 (1), p.5962-5962, Article 5962

2022

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Drug repositioning by kernel-based integration of molecular structure, molecular activity, and phenotype data

PloS one, 2013-11, Vol.8 (11), p.e78518

2013

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Conditional mutual inclusive information enables accurate quantification of associations in gene regulatory networks

Nucleic acids research, 2015-03, Vol.43 (5), p.e31

2015

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Pattern fusion analysis by adaptive alignment of multiple heterogeneous omics data

Bioinformatics (Oxford, England), 2017-09, Vol.33 (17), p.2706-2714

2017

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Autoreservoir computing for multistep ahead prediction based on the spatiotemporal information transformation

Cell-specific network constructed by single-cell RNA sequencing data

Deep-joint-learning analysis model of single cell transcriptome and open chromatin accessibility data

Part mutual information for quantifying direct associations in networks

Personalized characterization of diseases using sample-specific networks

Early Diagnosis of Complex Diseases by Molecular Biomarkers, Network Biomarkers, and Dynamical Network Biomarkers

Single-sample landscape entropy reveals the imminent phase transition during disease progression

Forecasting the Wind Generation Using a Two-Stage Network Based on Meteorological Information

Dynamic network biomarker indicates pulmonary metastasis at the tipping point of hepatocellular carcinoma

Competitive endogenous RNA is an intrinsic component of EMT regulatory circuits and modulates EMT

Partial cross mapping eliminates indirect causal influences

Randomly distributed embedding making short-term high-dimensional data predictable

Dynamical network biomarkers: Theory and applications

A randomized controlled trial for response of microbiome network to exercise and diet intervention in patients with nonalcoholic fatty liver disease

Detecting early-warning signals for sudden deterioration of complex diseases by dynamical network biomarkers

Short-Term Load Forecasting Using Comprehensive Combination Based on Multimeteorological Information

Big Biological Data: Challenges and Opportunities

PWCDA: Path Weighted Method for Predicting circRNA-Disease Associations

Biomolecular Networks: Methods and Applications in Systems Biology

Quantifying critical states of complex diseases using single-sample dynamic network biomarkers

Predicting local COVID-19 outbreaks and infectious disease epidemics based on landscape network entropy

Elucidating tumor heterogeneity from spatially resolved transcriptomics data by multi-view graph collaborative learning

Drug repositioning by kernel-based integration of molecular structure, molecular activity, and phenotype data

Conditional mutual inclusive information enables accurate quantification of associations in gene regulatory networks

Pattern fusion analysis by adaptive alignment of multiple heterogeneous omics data

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