Decoding clinical biomarker space of COVID-19: Exploring matrix factorization-based feature selection methods

Non-Negative Matrix Factorization Temporal Topic Models and Clinical Text Data Identify COVID-19 Pandemic Effects on Primary Healthcare and Community Health in Toronto, Canada

(2022) Christopher Meaney et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Clinical characteristics and predictors of mortality in young adults with severe COVID-19: a retrospective observational study

(2021) Yanjiao Lu et al.   Annals of Clinical Microbiology and Antimicrobials

The role of C-reactive protein as a prognostic marker in COVID-19

(2021) Dominic Stringer et al.   INTERNATIONAL JOURNAL OF EPIDEMIOLOGY

Machine learning based predictors for COVID-19 disease severity

(2021) Dhruv Patel et al.   Scientific Reports

Indicator Regularized Non-Negative Matrix Factorization Method-Based Drug Repurposing for COVID-19

(2021) Xianfang Tang et al.   Frontiers in Immunology

Nonnegative matrix factorization with local similarity learning

(2021) Chong Peng et al.   INFORMATION SCIENCES

High dimensionality reduction by matrix factorization for systems pharmacology

(2021) Adel Mehrpooya et al.   BRIEFINGS IN BIOINFORMATICS

Dual-manifold regularized regression models for feature selection based on hesitant fuzzy correlation

(2021) Mahla Mokhtia et al.   KNOWLEDGE-BASED SYSTEMS

A survey on feature selection approaches for clustering

(2020) Emrah Hancer et al.   ARTIFICIAL INTELLIGENCE REVIEW

Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China

(2020) Qiurong Ruan et al.   INTENSIVE CARE MEDICINE

Risk factors for severity and mortality in adult COVID-19 inpatients in Wuhan

(2020) Xiaochen Li et al.   JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY

Robust neighborhood embedding for unsupervised feature selection

(2020) Yanfang Liu et al.   KNOWLEDGE-BASED SYSTEMS

Early decrease in blood platelet count is associated with poor prognosis in COVID-19 patients—indications for predictive, preventive, and personalized medical approach

(2020) Xiaofang Zhao et al.   EPMA Journal

Predictive values of blood urea nitrogen/creatinine ratio and other routine blood parameters on disease severity and survival of COVID‐19 patients

(2020) Fesih Ok et al.   JOURNAL OF MEDICAL VIROLOGY

Hypoxia in COVID-19: Sign of Severity or Cause for Poor Outcomes

(2020) Kianoush B. Kashani   MAYO CLINIC PROCEEDINGS

Pre-existing traits associated with Covid-19 illness severity

(2020) Joseph E. Ebinger et al.   PLoS One

C-reactive protein: A promising biomarker for poor prognosis in COVID-19 infection

(2020) Bikash R. Sahu et al.   CLINICA CHIMICA ACTA

Clinical Predictors of COVID‐19 Disease Progression and Death: Analysis of 214 Hospitalized Patients from Wuhan, China

(2020) Jie Liu et al.   Clinical Respiratory Journal

GeFeS: A generalized wrapper feature selection approach for optimizing classification performance

(2020) Golnaz Sahebi et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Utilization of machine-learning models to accurately predict the risk for critical COVID-19

(2020) Dan Assaf et al.   Internal and Emergency Medicine

Heparin-binding Peptides as Novel Therapies to Stop SARS-CoV-2 Cellular Entry and Infection

(2020) Omid Tavassoly et al.   MOLECULAR PHARMACOLOGY

Clinical Outcomes in Young US Adults Hospitalized With COVID-19

(2020) Jonathan W. Cunningham et al.   JAMA Internal Medicine

Asymptomatic hypoxia in COVID-19 is associated with poor outcome

(2020) Philippe Brouqui et al.   INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES

Pairwise dependence-based unsupervised feature selection

(2020) Hyunki Lim et al.   PATTERN RECOGNITION

Robust Unsupervised Feature Selection by Nonnegative Sparse Subspace Learning

(2019) Wei Zheng et al.   NEUROCOMPUTING

A review of unsupervised feature selection methods

(2019) Saúl Solorio-Fernández et al.   ARTIFICIAL INTELLIGENCE REVIEW

Genomic signatures defining responsiveness to allopurinol and combination therapy for lung cancer identified by systems therapeutics analyses

(2019) Iman Tavassoly et al.   Molecular Oncology

Unsupervised feature selection via latent representation learning and manifold regularization

(2019) Chang Tang et al.   NEURAL NETWORKS

Sparse and low-redundant subspace learning-based dual-graph regularized robust feature selection

(2019) Ronghua Shang et al.   KNOWLEDGE-BASED SYSTEMS

A Systems Biology Roadmap to Decode mTOR Control System in Cancer

(2019) Mohammadreza Dorvash et al.   Interdisciplinary Sciences-Computational Life Sciences

Enriching Non-negative Matrix Factorization with Contextual Embeddings for Recommender Systems

(2019) Zafran Khan et al.   NEUROCOMPUTING

A manifold learning regularization approach to enhance 3D CT image-based lung nodule classification

(2019) Ying Ren et al.   International Journal of Computer Assisted Radiology and Surgery

Dynamic modeling of signal transduction by mTOR complexes in cancer

(2019) Mohammadreza Dorvash et al.   JOURNAL OF THEORETICAL BIOLOGY

Supervised feature selection by constituting a basis for the original space of features and matrix factorization

(2019) Farid Saberi-Movahed et al.   International Journal of Machine Learning and Cybernetics

Robust unsupervised feature selection via dual self-representation and manifold regularization

(2018) Chang Tang et al.   KNOWLEDGE-BASED SYSTEMS

Feature selection based dual-graph sparse non-negative matrix factorization for local discriminative clustering

(2018) Yang Meng et al.   NEUROCOMPUTING

Dual regularized multi-view non-negative matrix factorization for clustering

(2018) Peng Luo et al.   NEUROCOMPUTING

Unsupervised feature selection by regularized matrix factorization

(2018) Miao Qi et al.   NEUROCOMPUTING

Systems biology primer: the basic methods and approaches

(2018) Iman Tavassoly et al.   Essays in Biochemistry

Dual graph regularized compact feature representation for unsupervised feature selection

(2018) Shaoyong Li et al.   NEUROCOMPUTING

Unsupervised feature selection via local structure learning and sparse learning

(2017) Cong Lei et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Characteristic Gene Selection Based on Robust Graph Regularized Non-Negative Matrix Factorization

(2016) Dong Wang et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

Subspace learning-based graph regularized feature selection

(2016) Ronghua Shang et al.   KNOWLEDGE-BASED SYSTEMS

Global and local structure preserving sparse subspace learning: An iterative approach to unsupervised feature selection

(2016) Nan Zhou et al.   PATTERN RECOGNITION

Selecting feature subset with sparsity and low redundancy for unsupervised learning

(2015) Jiuqi Han et al.   KNOWLEDGE-BASED SYSTEMS

Unsupervised feature selection via maximum projection and minimum redundancy

(2015) Shiping Wang et al.   KNOWLEDGE-BASED SYSTEMS

Relevance–redundancy feature selection based on ant colony optimization

(2015) Sina Tabakhi et al.   PATTERN RECOGNITION

Subspace learning for unsupervised feature selection via matrix factorization

(2015) Shiping Wang et al.   PATTERN RECOGNITION

A review of microarray datasets and applied feature selection methods

(2014) V. Bolón-Canedo et al.   INFORMATION SCIENCES

A survey on feature selection methods

(2013) Girish Chandrashekar et al.   COMPUTERS & ELECTRICAL ENGINEERING

Subspace Learning from Image Gradient Orientations

(2012) G. Tzimiropoulos et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

On Similarity Preserving Feature Selection

(2011) Zheng Zhao et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Convex and Semi-Nonnegative Matrix Factorizations

(2008) C.H.Q. Ding et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE