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Machine Learning-Based Radiomics for Molecular Subtyping of Gliomas

Clinical cancer research, 2018-09, Vol.24 (18), p.4429-4436

2018

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An enhanced computational platform for investigating the roles of regulatory RNA and for identifying functional RNA motifs

BMC bioinformatics, 2013-01, Vol.14 Suppl 2 (Suppl 2), p.S4-S4, Article S4

2013

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dbPTM in 2022: an updated database for exploring regulatory networks and functional associations of protein post-translational modifications

Nucleic acids research, 2022-01, Vol.50 (D1), p.D471-D479

2022

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RegPhos: a system to explore the protein kinase-substrate phosphorylation network in humans

Nucleic acids research, 2011-01, Vol.39 (Database issue), p.D777-D787

2011

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AlgaePath: comprehensive analysis of metabolic pathways using transcript abundance data from next-generation sequencing in green algae

BMC genomics, 2014-03, Vol.15 (1), p.196-196, Article 196

2014

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Computational analysis for identification of the extracellular matrix molecules involved in endometrial cancer progression

PloS one, 2020-04, Vol.15 (4), p.e0231594-e0231594

2020

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Identification of potential biomarkers related to glioma survival by gene expression profile analysis

BMC medical genomics, 2019-03, Vol.11 (Suppl 7), p.34-34, Article 34

2019

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Characterization and identification of lysine glutarylation based on intrinsic interdependence between positions in the substrate sites

BMC bioinformatics, 2019-02, Vol.19 (Suppl 13), p.384-384, Article 384

2019

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Anti-Angiogenetic and Anti-Lymphangiogenic Effects of a Novel 2-Aminobenzimidazole Derivative, MFB

Frontiers in oncology, 2022-06, Vol.12, p.862326-862326

2022

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Assessing Non-Specific Neck Pain through Pose Estimation from Images Based on Ensemble Learning

Life (Basel, Switzerland), 2023-11, Vol.13 (12), p.2292

2023

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Training-based synchronization for quantity-based modulation in inverse Gaussian channels

2017 IEEE International Conference on Communications (ICC), 2017, p.1-6

2017

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Incorporating structural characteristics for identification of protein methylation sites

Journal of computational chemistry, 2009-07, Vol.30 (9), p.1532-1543

2009

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N-Ace: Using solvent accessibility and physicochemical properties to identify protein N-acetylation sites

Journal of computational chemistry, 2010-11, Vol.31 (15), p.2759-2771

2010

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Incorporating support vector machine for identifying protein tyrosine sulfation sites

Journal of computational chemistry, 2009-11, Vol.30 (15), p.2526-2537

2009

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Characterization and Identification of Lysine Succinylation Sites based on Deep Learning Method

Scientific reports, 2019-11, Vol.9 (1), p.16175-15, Article 16175

2019

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Biomarker Identification through Multiomics Data Analysis of Prostate Cancer Prognostication Using a Deep Learning Model and Similarity Network Fusion

Cancers, 2021-05, Vol.13 (11), p.2528

2021

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Investigation and identification of functional post-translational modification sites associated with drug binding and protein-protein interactions

BMC systems biology, 2017-12, Vol.11 (Suppl 7), p.132-132, Article 132

2017

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Radiomic Immunophenotyping of GSEA-Assessed Immunophenotypes of Glioblastoma and Its Implications for Prognosis: A Feasibility Study

Cancers, 2020-10, Vol.12 (10), p.3039

2020

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MDD-carb: a combinatorial model for the identification of protein carbonylation sites with substrate motifs

BMC systems biology, 2017-12, Vol.11 (Suppl 7), p.137-137, Article 137

2017

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Detection of PD-L1 Expression in Temozolomide-Resistant Glioblastoma by Using PD-L1 Antibodies Conjugated with Lipid‑Coated Superparamagnetic Iron Oxide

International journal of nanomedicine, 2021-01, Vol.16, p.5233-5246

2021

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GPMiner: an integrated system for mining combinatorial cis-regulatory elements in mammalian gene group

BMC genomics, 2012, Vol.13 Suppl 1 (Suppl 1), p.S3-S3

2012

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Incorporating evolutionary information and functional domains for identifying RNA splicing factors in humans

PloS one, 2011-11, Vol.6 (11), p.e27567-e27567

2011

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Identification of Differentially Expressed Genes in Different Glioblastoma Regions and Their Association with Cancer Stem Cell Development and Temozolomide Response

Journal of personalized medicine, 2021-10, Vol.11 (11), p.1047

2021

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Incorporating significant amino acid pairs and protein domains to predict RNA splicing-related proteins with functional roles

Journal of computer-aided molecular design, 2014, Vol.28 (1), p.49-60

2014

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A comprehensive resource for integrating and displaying protein post-translational modifications

BMC research notes, 2009-06, Vol.2 (1), p.111-111

2009

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Machine Learning-Based Radiomics for Molecular Subtyping of Gliomas

An enhanced computational platform for investigating the roles of regulatory RNA and for identifying functional RNA motifs

dbPTM in 2022: an updated database for exploring regulatory networks and functional associations of protein post-translational modifications

RegPhos: a system to explore the protein kinase-substrate phosphorylation network in humans

AlgaePath: comprehensive analysis of metabolic pathways using transcript abundance data from next-generation sequencing in green algae

Computational analysis for identification of the extracellular matrix molecules involved in endometrial cancer progression

Identification of potential biomarkers related to glioma survival by gene expression profile analysis

Characterization and identification of lysine glutarylation based on intrinsic interdependence between positions in the substrate sites

Anti-Angiogenetic and Anti-Lymphangiogenic Effects of a Novel 2-Aminobenzimidazole Derivative, MFB

Assessing Non-Specific Neck Pain through Pose Estimation from Images Based on Ensemble Learning

Training-based synchronization for quantity-based modulation in inverse Gaussian channels

Incorporating structural characteristics for identification of protein methylation sites

N-Ace: Using solvent accessibility and physicochemical properties to identify protein N-acetylation sites

Incorporating support vector machine for identifying protein tyrosine sulfation sites

Characterization and Identification of Lysine Succinylation Sites based on Deep Learning Method

Biomarker Identification through Multiomics Data Analysis of Prostate Cancer Prognostication Using a Deep Learning Model and Similarity Network Fusion

Investigation and identification of functional post-translational modification sites associated with drug binding and protein-protein interactions

Radiomic Immunophenotyping of GSEA-Assessed Immunophenotypes of Glioblastoma and Its Implications for Prognosis: A Feasibility Study

MDD-carb: a combinatorial model for the identification of protein carbonylation sites with substrate motifs

Detection of PD-L1 Expression in Temozolomide-Resistant Glioblastoma by Using PD-L1 Antibodies Conjugated with Lipid‑Coated Superparamagnetic Iron Oxide

GPMiner: an integrated system for mining combinatorial cis-regulatory elements in mammalian gene group

Incorporating evolutionary information and functional domains for identifying RNA splicing factors in humans

Identification of Differentially Expressed Genes in Different Glioblastoma Regions and Their Association with Cancer Stem Cell Development and Temozolomide Response

Incorporating significant amino acid pairs and protein domains to predict RNA splicing-related proteins with functional roles

A comprehensive resource for integrating and displaying protein post-translational modifications

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