GAMB-GNN: Graph Neural Networks learning from gene structure relations and Markov Blanket ranking for cancer classification in microarray data

Integrative Analysis of Bulk and Single-Cell RNA Sequencing Data Reveals Cell Types Involved in Heart Failure

(2022) Xin Shi et al.   Frontiers in Bioengineering and Biotechnology

Predicting Heart Cell Types by Using Transcriptome Profiles and a Machine Learning Method

(2022) Shijian Ding et al.   Life-Basel

Ensemble feature selection for stable biomarker identification and cancer classification from microarray expression data

(2022) Aiguo Wang et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Identifying the Signatures and Rules of Circulating Extracellular MicroRNA for Distinguishing Cancer Subtypes

(2021) Fei Yuan et al.   Frontiers in Genetics

Classification of breast cancer using microarray gene expression data: A survey

(2021) Muhammed Abd-Elnaby et al.   JOURNAL OF BIOMEDICAL INFORMATICS

KG4SL: knowledge graph neural network for synthetic lethality prediction in human cancers

(2021) Shike Wang et al.   BIOINFORMATICS

GAT-LI: a graph attention network based learning and interpreting method for functional brain network classification

(2021) Jinlong Hu et al.   BMC BIOINFORMATICS

Feature selection methods on gene expression microarray data for cancer classification: A systematic review

(2021) Esra'a Alhenawi et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Determination of biomarkers from microarray data using graph neural network and spectral clustering

(2021) Kun Yu et al.   Scientific Reports

Identification of Pan-Cancer Biomarkers Based on the Gene Expression Profiles of Cancer Cell Lines

(2021) ShiJian Ding et al.   Frontiers in Cell and Developmental Biology

Pan-Cancer Classification Based on Self-Normalizing Neural Networks and Feature Selection

(2020) Junyi Li et al.   Frontiers in Bioengineering and Biotechnology

An efficient multivariate feature ranking method for gene selection in high-dimensional microarray data

(2020) Junghye Lee et al.   EXPERT SYSTEMS WITH APPLICATIONS

Active learning using rough fuzzy classifier for cancer prediction from microarray gene expression data

(2019) Anindya Halder et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Chemi-Net: A Molecular Graph Convolutional Network for Accurate Drug Property Prediction

(2019) Ke Liu et al.   INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

A deep learning-based multi-model ensemble method for cancer prediction

(2018) Yawen Xiao et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

GeneMANIA update 2018

(2018) Max Franz et al.   NUCLEIC ACIDS RESEARCH

An efficient end-to-end deep learning architecture for activity classification

(2018) Amel Ben Mahjoub et al.   ANALOG INTEGRATED CIRCUITS AND SIGNAL PROCESSING

The BioGRID interaction database: 2019 update

(2018) Rose Oughtred et al.   NUCLEIC ACIDS RESEARCH

High-dimensional feature selection via feature grouping: A Variable Neighborhood Search approach

(2016) Miguel García-Torres et al.   INFORMATION SCIENCES

Analysis of microarray leukemia data using an efficient MapReduce-based K-nearest-neighbor classifier

(2016) Mukesh Kumar et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Artificial neural network model for effective cancer classification using microarray gene expression data

(2016) Ashok Kumar Dwivedi   NEURAL COMPUTING & APPLICATIONS

Improving PLS–RFE based gene selection for microarray data classification

(2015) Aiguo Wang et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Machine learning applications in cancer prognosis and prediction

(2015) Konstantina Kourou et al.   Computational and Structural Biotechnology Journal

Feature-selection-based dynamic transfer ensemble model for customer churn prediction

(2014) Jin Xiao et al.   KNOWLEDGE AND INFORMATION SYSTEMS

A study of neural-network-based classifiers for material classification

(2014) H.K. Lam et al.   NEUROCOMPUTING