4.7 Article

CNNGRN: A Convolutional Neural Network-Based Method for Gene Regulatory Network Inference From Bulk Time-Series Expression Data

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

Discovering gene regulatory networks of multiple phenotypic groups using dynamic Bayesian networks

Polina Suter et al.

Summary: This study presents a strategy for learning gene regulatory networks (GRNs) using Dynamic Bayesian networks (DBNs) from gene expression data. The proposed approach is scalable, has high predictive accuracy, and prevents overfitting. The application of DBNs to two time series transcriptomic datasets demonstrates improved classification accuracy and the identification of differences in gene networks between cancer and normal tissues.

BRIEFINGS IN BIOINFORMATICS (2022)

Article Biochemical Research Methods

Dynamic Bayesian Network Learning to Infer Sparse Models From Time Series Gene Expression Data

Hamda B. Ajmal et al.

Summary: This paper introduces two new Bayesian network scoring functions and combines them with dynamic Bayesian network structure search methods to infer gene regulatory networks with fewer false edges. Experimental results demonstrate that these methods outperform traditional approaches, and can learn sparse graphs from time series gene expression data.

IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2022)

Article Biochemical Research Methods

Reconstruction of Gene Regulatory Networks Using Multiple Datasets

Mehrzad Saremi et al.

Summary: In this study, an algorithm called GENEREF was developed to accumulate information from multiple datasets in an iterative manner, improving the accuracy of prediction results. The algorithm was extensively tested on multiple datasets and outperformed other algorithms on selected networks, showing competitiveness with existing multi-dataset algorithms.

IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2022)

Review Biochemical Research Methods

A comprehensive survey of regulatory network inference methods using single cell RNA sequencing data

Hung Nguyen et al.

Summary: Gene regulatory network plays a crucial role in how cells function and respond to external factors. The advancement of single-cell sequencing technologies has opened up new opportunities for research in this area, with computational methods being developed to uncover hidden interactions in single-cell data.

BRIEFINGS IN BIOINFORMATICS (2021)

Article Biochemical Research Methods

GAERF: predicting lncRNA-disease associations by graph auto-encoder and random forest

Qing-Wen Wu et al.

Summary: This study proposed a method for predicting disease-related lncRNAs using a combination of GAE and RF which achieved high accuracy and performance. Experimental results indicate that the method is an effective tool for predicting LDAs.

BRIEFINGS IN BIOINFORMATICS (2021)

Review Biochemical Research Methods

A comprehensive overview and critical evaluation of gene regulatory network inference technologies

Mengyuan Zhao et al.

Summary: The study focuses on the importance of GRN reconstruction technologies in biology and medical science, discussing different method classifications and their performance in networks of varying scales. The aim is to discover potential drug targets and identify cancer biomarkers.

BRIEFINGS IN BIOINFORMATICS (2021)

Article Multidisciplinary Sciences

An order independent algorithm for inferring gene regulatory network using quantile value for conditional independence tests

Sayyed Hadi Mahmoodi et al.

Summary: The Gene Regulatory Networks (GRNs) inference methods, specifically the ones based on the Path Consistency algorithm, still face challenges like sensitivity to node order and dependency on independence testing threshold. A novel algorithm named OIPCQ addresses these issues by improving conditional gene selection and threshold settings, enhancing GRNs learning accuracy and overcoming order dependency.

SCIENTIFIC REPORTS (2021)

Article Biochemical Research Methods

A Fast and Furious Bayesian Network and Its Application of Identifying Colon Cancer to Liver Metastasis Gene Regulatory Networks

Enze Liu et al.

Summary: Bayesian networks are powerful for identifying causal relationships, but as network size grows, the time complexity of searching optimal structures increases exponentially. The new FFBN algorithm significantly accelerates the computational speed by using fewer model configuration rules. FFBN outperforms existing methods in constructing large-scale gene regulatory networks and discovering unique molecular mechanisms in cancer types.

IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2021)

Article Biochemical Research Methods

Reverse engineering gene regulatory network based on complex-valued ordinary differential equation model

Bin Yang et al.

Summary: Recent research in molecular biology has shown the ability of complex life phenomena to demonstrate various interactions at the genomic level, promoting studies on gene or protein interactions. The complex-valued ordinary differential equation (CVODE) model, optimized and tested on real gene expression datasets, has been proven to improve prediction accuracy significantly.

BMC BIOINFORMATICS (2021)

Article Biochemical Research Methods

MMFGRN: a multi-source multi-model fusion method for gene regulatory network reconstruction

Wenying He et al.

Summary: Gene regulatory networks (GRNs) play a crucial role in biological processes, and our proposed method MMFGRN shows promising results in reconstructing these networks by leveraging different data types to explore potential regulatory relationships.

BRIEFINGS IN BIOINFORMATICS (2021)

Article Biochemical Research Methods

ATEN: And/Or tree ensemble for inferring accurate Boolean network topology and dynamics

Ning Shi et al.

BIOINFORMATICS (2020)

Article Computer Science, Artificial Intelligence

Reconstructing gene regulatory networks via memetic algorithm and LASSO based on recurrent neural networks

Luowen Liu et al.

SOFT COMPUTING (2020)

Article Biochemical Research Methods

Inference of gene regulatory networks based on nonlinear ordinary differential equations

Baoshan Ma et al.

BIOINFORMATICS (2020)

Article Biochemistry & Molecular Biology

Activation by NarL at the Escherichia coli ogt promoter

Patcharawarin Ruanto et al.

BIOCHEMICAL JOURNAL (2020)

Article Biochemical Research Methods

PFBNet: a priori-fused boosting method for gene regulatory network inference

Dandan Che et al.

BMC BIOINFORMATICS (2020)

Article Biochemical Research Methods

A neuro-evolution approach to infer a Boolean network from time-series gene expressions

Shohag Barman et al.

BIOINFORMATICS (2020)

Proceedings Paper Biochemical Research Methods

GRRFNet: Guided Regularized Random Forest-based Gene Regulatory Network Inference Using Data Integration

Yongqing Zhang et al.

2020 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (2020)

Article Biochemistry & Molecular Biology

Inductive inference of gene regulatory network using supervised and semi-supervised graph neural networks

Juexin Wang et al.

COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL (2020)

Review Computer Science, Artificial Intelligence

Deep learning for time series classification: a review

Hassan Ismail Fawaz et al.

DATA MINING AND KNOWLEDGE DISCOVERY (2019)

Article Computer Science, Information Systems

A Novel Method of Gene Regulatory Network Structure Inference from Gene Knock-Out Expression Data

Xiang Chen et al.

TSINGHUA SCIENCE AND TECHNOLOGY (2019)

Article Biochemical Research Methods

BiXGBoost: a scalable, flexible boosting-based method for reconstructing gene regulatory networks

Ruiqing Zheng et al.

BIOINFORMATICS (2019)

Article Biochemical Research Methods

GRNBoost2 and Arboreto: efficient and scalable inference of gene regulatory networks

Thomas Moerman et al.

BIOINFORMATICS (2019)

Article Biochemical Research Methods

A Boolean network inference from time-series gene expression data using a genetic algorithm

Shohag Barman et al.

BIOINFORMATICS (2018)

Article Mathematical & Computational Biology

BTNET : boosted tree based gene regulatory network inference algorithm using time-course measurement data

Sungjoon Park et al.

BMC SYSTEMS BIOLOGY (2018)

Article Biochemistry & Molecular Biology

RegulonDB version 9.0: high-level integration of gene regulation, coexpression, motif clustering and beyond

Socorro Gama-Castro et al.

NUCLEIC ACIDS RESEARCH (2016)

Article Biochemical Research Methods

Combining tree-based and dynamical systems for the inference of gene regulatory networks

Van Anh Huynh-Thu et al.

BIOINFORMATICS (2015)

Article Biochemical Research Methods

Mining Gene Regulatory Networks by Neural Modeling of Expression Time-Series

Mariano Rubiolo et al.

IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2015)

Article Mathematical & Computational Biology

cytoHubba: identifying hub objects and sub-networks from complex interactome

Chia-Hao Chin et al.

BMC SYSTEMS BIOLOGY (2014)

Article Biology

A review on the computational approaches for gene regulatory network construction

Lian En Chai et al.

COMPUTERS IN BIOLOGY AND MEDICINE (2014)

Article Biochemical Research Methods

Wisdom of crowds for robust gene network inference

Daniel Marbach et al.

NATURE METHODS (2012)

Article Biochemical Research Methods

GeneNetWeaver: in silico benchmark generation and performance profiling of network inference methods

Thomas Schaffter et al.

BIOINFORMATICS (2011)

Article Biochemistry & Molecular Biology

Metabolomic and transcriptomic stress response of Escherichia coli

Szymon Jozefczuk et al.

MOLECULAR SYSTEMS BIOLOGY (2010)

Review Microbiology

Advantages and limitations of current network inference methods

Riet De Smet et al.

NATURE REVIEWS MICROBIOLOGY (2010)

Article Multidisciplinary Sciences

Inferring Regulatory Networks from Expression Data Using Tree-Based Methods

Van Anh Huynh-Thu et al.

PLOS ONE (2010)

Article Multidisciplinary Sciences

Revealing strengths and weaknesses of methods for gene network inference

Daniel Marbach et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2010)

Article Biotechnology & Applied Microbiology

CRP regulator modulates multidrug resistance of Escherichia coli by repressing the mdtEF multidrug efflux genes

Kunihiko Nishino et al.

JOURNAL OF ANTIBIOTICS (2008)

Article Multidisciplinary Sciences

Properties of developmental gene regulatory networks

Eric H. Davidson et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2008)

Correction Biochemistry & Molecular Biology

How to infer gene networks from expression profiles (vol 3, pg 78, 2007)

Mukesh Bansal et al.

MOLECULAR SYSTEMS BIOLOGY (2007)

Article Microbiology

Transcriptional regulation of the fad regulon genes of Escherichia coli by ArcA

Byung-Kwan Cho et al.

MICROBIOLOGY-SGM (2006)

Article Microbiology

Regulation of ndh expression in Escherichia coli by Fis

L Jackson et al.

MICROBIOLOGY-SGM (2004)

Article Microbiology

Transcription regulation by tandem-bound FNR at Escherichia coli promoters

AML Barnard et al.

JOURNAL OF BACTERIOLOGY (2003)

Article Biochemistry & Molecular Biology

Cytoscape: A software environment for integrated models of biomolecular interaction networks

P Shannon et al.

GENOME RESEARCH (2003)