4.2 Article

Prediction of Drug Side Effects with a Refined Negative Sample Selection Strategy

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Biochemical Research Methods

Drug Target Group Prediction with Multiple Drug Networks

Jingang Che et al.

COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING (2020)

Article Biochemical Research Methods

Inverse similarity and reliable negative samples for drug side-effect prediction

Yi Zheng et al.

BMC BIOINFORMATICS (2019)

Article Biochemical Research Methods

Predicting Drug Side Effects with Compact Integration of Heterogeneous Networks

Xian Zhao et al.

CURRENT BIOINFORMATICS (2019)

Article Computer Science, Information Systems

Identification of Drug-Side Effect Association via Semisupervised Model and Multiple Kernel Learning

Yijie Ding et al.

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2019)

Article Computer Science, Artificial Intelligence

Identification of drug-side effect association via multiple information integration with centered kernel alignment

Yijie Ding et al.

NEUROCOMPUTING (2019)

Article Biochemical Research Methods

Facilitating prediction of adverse drug reactions by using knowledge graphs and multi-label learning models

Emir Munoz et al.

BRIEFINGS IN BIOINFORMATICS (2019)

Article Biochemistry & Molecular Biology

Prediction of potential drivers connecting different dysfunctional levels in lung adenocarcinoma via a protein-protein interaction network

Fei Yuan et al.

BIOCHIMICA ET BIOPHYSICA ACTA-MOLECULAR BASIS OF DISEASE (2018)

Article Biochemistry & Molecular Biology

Identification of genes related to proliferative diabetic retinopathy through RWR algorithm based on protein-protein interaction network

Jian Zhang et al.

BIOCHIMICA ET BIOPHYSICA ACTA-MOLECULAR BASIS OF DISEASE (2018)

Article Biochemistry & Molecular Biology

Inferring anatomical therapeutic chemical (ATC) class of drugs using shortest path and random walk with restart algorithms

Lei Chen et al.

BIOCHIMICA ET BIOPHYSICA ACTA-MOLECULAR BASIS OF DISEASE (2018)

Article Medicine, Research & Experimental

Inferring Novel Tumor Suppressor Genes with a Protein-Protein Interaction Network and Network Diffusion Algorithms

Lei Chen et al.

MOLECULAR THERAPY-METHODS & CLINICAL DEVELOPMENT (2018)

Article Biochemical Research Methods

Predicting adverse drug reactions through interpretable deep learning framework

Sanjoy Dey et al.

BMC BIOINFORMATICS (2018)

Article Biochemistry & Molecular Biology

Determination of Genes Related to Uveitis by Utilization of the Random Walk with Restart Algorithm on a Protein-Protein Interaction Network

Shiheng Lu et al.

INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES (2017)

Article Mathematical & Computational Biology

Quantitative prediction of drug side effects based on drug-related features

Yanqing Niu et al.

INTERDISCIPLINARY SCIENCES-COMPUTATIONAL LIFE SCIENCES (2017)

Article Computer Science, Information Systems

Identify Key Sequence Features to Improve CRISPR sgRNA Efficacy

Lei Chen et al.

IEEE ACCESS (2017)

Article Biochemical Research Methods

Identification of Drug-Drug Interactions Using Chemical Interactions

Lei Chen et al.

CURRENT BIOINFORMATICS (2017)

Article Mathematical & Computational Biology

Selecting high-quality negative samples for effectively predicting protein-RNA interactions

Zhanzhan Cheng et al.

BMC SYSTEMS BIOLOGY (2017)

Article Biochemical Research Methods

Predicting drug side effects by multi-label learning and ensemble learning

Wen Zhang et al.

BMC BIOINFORMATICS (2015)

Article Biochemistry & Molecular Biology

A hybrid method for prediction and repositioning of drug Anatomical Therapeutic Chemical classes

Lei Chen et al.

MOLECULAR BIOSYSTEMS (2014)

Article Biochemistry & Molecular Biology

STITCH 4: integration of protein-chemical interactions with user data

Michael Kuhn et al.

NUCLEIC ACIDS RESEARCH (2014)

Article Biotechnology & Applied Microbiology

Predicting Drugs Side Effects Based on Chemical-Chemical Interactions and Protein-Chemical Interactions

Lei Chen et al.

BIOMED RESEARCH INTERNATIONAL (2013)

Article Chemistry, Medicinal

Drug Side-Effect Prediction Based on the Integration of Chemical and Biological Spaces

Yoshihiro Yamanishi et al.

JOURNAL OF CHEMICAL INFORMATION AND MODELING (2012)

Article Computer Science, Information Systems

Large-scale prediction of adverse drug reactions using chemical, biological, and phenotypic properties of drugs

Mei Liu et al.

JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2012)

Article Biochemical Research Methods

Predicting drug side-effect profiles: a chemical fragment-based approach

Edouard Pauwels et al.

BMC BIOINFORMATICS (2011)

Article Biochemical Research Methods

An Algorithmic Framework for Predicting Side Effects of Drugs

Nir Atias et al.

JOURNAL OF COMPUTATIONAL BIOLOGY (2011)

Article Biochemistry & Molecular Biology

A side effect resource to capture phenotypic effects of drugs

Michael Kuhn et al.

MOLECULAR SYSTEMS BIOLOGY (2010)

Article Biochemistry & Molecular Biology

SIMCOMP/SUBCOMP: chemical structure search servers for network analyses

Masahiro Hattori et al.

NUCLEIC ACIDS RESEARCH (2010)

Article Genetics & Heredity

Walking the interactome for prioritization of candidate disease genes

Sebastian Koehler et al.

AMERICAN JOURNAL OF HUMAN GENETICS (2008)

Article Biochemistry & Molecular Biology

STITCH: interaction networks of chemicals and proteins

Michael Kuhn et al.

NUCLEIC ACIDS RESEARCH (2008)

Article Computer Science, Artificial Intelligence

Random forests

L Breiman

MACHINE LEARNING (2001)