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Biocompatible Nanoclusters with High Heating Efficiency for Systemically Delivered Magnetic Hyperthermia

ACS nano, 2019-06, Vol.13 (6), p.6383-6395

2019

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A Domino Diels–Alder Approach toward the Tetracyclic Nicandrenone Framework

Organic letters, 2015-11, Vol.17 (22), p.5517-5519

2015

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Identification of gene biomarkers for brain diseases via multi-network topological semantics extraction and graph convolutional network

BMC genomics, 2024-02, Vol.25 (1), p.175-175, Article 175

2024

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GKLOMLI: a link prediction model for inferring miRNA-lncRNA interactions by using Gaussian kernel-based method on network profile and linear optimization algorithm

BMC bioinformatics, 2023-05, Vol.24 (1), p.188-188, Article 188

2023

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1,3-Dipolar Cycloaddition−Decarboxylation Reactions of an Azomethine Ylide with Isatoic Anhydrides: Formation of Novel Benzodiazepinones

Organic letters, 2011-02, Vol.13 (3), p.486-489

2011

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Una revisión sistemática de literatura sobre implementaciones de sistemas de control de tráfico

Interfases, 2024-07 (19), p.157-178

2024

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The PI(3)P interactome from a colon cancer cell

Journal of proteomics, 2013-04, Vol.82, p.35-51

2013

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A lncRNA-disease association prediction tool development based on bridge heterogeneous information network via graph representation learning for family medicine and primary care

Frontiers in genetics, 2023-05, Vol.14, p.1084482-1084482

2023

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PI(3,4,5)P3 Interactome

Journal of proteome research, 2009-07, Vol.8 (7), p.3712-3726

2009

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MGRL: Predicting Drug-Disease Associations Based on Multi-Graph Representation Learning

Frontiers in genetics, 2021-04, Vol.12, p.657182-657182

2021

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An Improved Deep Forest Model for Predicting Self-Interacting Proteins From Protein Sequence Using Wavelet Transformation

Frontiers in genetics, 2019-03, Vol.10, p.90-90

2019

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A Novel Method to Predict Drug-Target Interactions Based on Large-Scale Graph Representation Learning

Cancers, 2021-04, Vol.13 (9), p.2111

2021

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NEMPD: a network embedding-based method for predicting miRNA-disease associations by preserving behavior and attribute information

BMC bioinformatics, 2020-09, Vol.21 (1), p.1-401, Article 401

2020

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Synthesis and biological evaluation of phosphatidylinositol phosphate affinity probes

Organic & biomolecular chemistry, 2010-01, Vol.8 (1), p.66-76

2010

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Prediction of Self-Interacting Proteins from Protein Sequence Information Based on Random Projection Model and Fast Fourier Transform

International journal of molecular sciences, 2019-02, Vol.20 (4), p.930

2019

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A weighted non-negative matrix factorization approach to predict potential associations between drug and disease

Journal of translational medicine, 2022-12, Vol.20 (1), p.552-552, Article 552

2022

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Detection of Interactions between Proteins through Rotation Forest and Local Phase Quantization Descriptors

International journal of molecular sciences, 2016-01, Vol.17 (1), p.21-21

2016

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RoFDT: Identification of Drug-Target Interactions from Protein Sequence and Drug Molecular Structure Using Rotation Forest

Biology (Basel, Switzerland), 2022-05, Vol.11 (5), p.741

2022

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DANE-MDA: Predicting microRNA-disease associations via deep attributed network embedding

iScience, 2021-06, Vol.24 (6), p.102455, Article 102455

2021

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Audit seasonality and pricing of audit services: Theory and evidence from a meta-analysis

Journal of accounting literature, 2018-06, Vol.40 (1), p.16-28

2018

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MSPEDTI: Prediction of Drug-Target Interactions via Molecular Structure with Protein Evolutionary Information

Biology (Basel, Switzerland), 2022-05, Vol.11 (5), p.740

2022

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The Violence in Peruvian Fundamentalist Catholic Discourse: Case Studies on X (Twitter)

The international journal of religion and spirituality in society, 2025-01, Vol.15 (2), p.161-180

2025

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Increasing lean muscle mass in mice via nanoparticle-mediated hepatic delivery of follistatin mRNA

Theranostics, 2018-01, Vol.8 (19), p.5276-5288

2018

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GNMFLMI: Graph Regularized Nonnegative Matrix Factorization for Predicting LncRNA-MiRNA Interactions

IEEE access, 2020, Vol.8, p.37578-37588

2020

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MIPDH: A Novel Computational Model for Predicting microRNA–mRNA Interactions by DeepWalk on a Heterogeneous Network

ACS omega, 2020-07, Vol.5 (28), p.17022-17032

2020

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Biocompatible Nanoclusters with High Heating Efficiency for Systemically Delivered Magnetic Hyperthermia

A Domino Diels–Alder Approach toward the Tetracyclic Nicandrenone Framework

Identification of gene biomarkers for brain diseases via multi-network topological semantics extraction and graph convolutional network

GKLOMLI: a link prediction model for inferring miRNA-lncRNA interactions by using Gaussian kernel-based method on network profile and linear optimization algorithm

1,3-Dipolar Cycloaddition−Decarboxylation Reactions of an Azomethine Ylide with Isatoic Anhydrides: Formation of Novel Benzodiazepinones

Una revisión sistemática de literatura sobre implementaciones de sistemas de control de tráfico

The PI(3)P interactome from a colon cancer cell

A lncRNA-disease association prediction tool development based on bridge heterogeneous information network via graph representation learning for family medicine and primary care

PI(3,4,5)P3 Interactome

MGRL: Predicting Drug-Disease Associations Based on Multi-Graph Representation Learning

An Improved Deep Forest Model for Predicting Self-Interacting Proteins From Protein Sequence Using Wavelet Transformation

A Novel Method to Predict Drug-Target Interactions Based on Large-Scale Graph Representation Learning

NEMPD: a network embedding-based method for predicting miRNA-disease associations by preserving behavior and attribute information

Synthesis and biological evaluation of phosphatidylinositol phosphate affinity probes

Prediction of Self-Interacting Proteins from Protein Sequence Information Based on Random Projection Model and Fast Fourier Transform

A weighted non-negative matrix factorization approach to predict potential associations between drug and disease

Detection of Interactions between Proteins through Rotation Forest and Local Phase Quantization Descriptors

RoFDT: Identification of Drug-Target Interactions from Protein Sequence and Drug Molecular Structure Using Rotation Forest

DANE-MDA: Predicting microRNA-disease associations via deep attributed network embedding

Audit seasonality and pricing of audit services: Theory and evidence from a meta-analysis

MSPEDTI: Prediction of Drug-Target Interactions via Molecular Structure with Protein Evolutionary Information

The Violence in Peruvian Fundamentalist Catholic Discourse: Case Studies on X (Twitter)

Increasing lean muscle mass in mice via nanoparticle-mediated hepatic delivery of follistatin mRNA

GNMFLMI: Graph Regularized Nonnegative Matrix Factorization for Predicting LncRNA-MiRNA Interactions

MIPDH: A Novel Computational Model for Predicting microRNA–mRNA Interactions by DeepWalk on a Heterogeneous Network

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