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Prediction of structural alphabet protein blocks using data mining

Biochimie, 2022-06, Vol.197, p.74-85

2022

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Structural disorder of plasmid-encoded proteins in Bacteria and Archaea

BMC bioinformatics, 2018-04, Vol.19 (1), p.158-158, Article 158

2018

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Epitope distribution in ordered and disordered protein regions. Part B — Ordered regions and disordered binding sites are targets of T- and B-cell immunity

Journal of immunological methods, 2014-05, Vol.407, p.90-107

2014

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A structural entropy index to analyse local conformations in intrinsically disordered proteins

Journal of structural biology, 2020-04, Vol.210 (1), p.107464-107464, Article 107464

2020

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Entropy-driven translocation of disordered proteins through the Gram-positive bacterial cell wall

Nature microbiology, 2021-08, Vol.6 (8), p.1055-1065

2021

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Epitope distribution in ordered and disordered protein regions — Part A. T-cell epitope frequency, affinity and hydropathy

Journal of immunological methods, 2014-04, Vol.406, p.83-103

2014

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BioGraph: Data Model for Linking and Querying Diverse Biological Metadata

International journal of molecular sciences, 2023-04, Vol.24 (8), p.6954

2023

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Electromagnetism-like algorithm for support vector machine parameter tuning

Soft computing (Berlin, Germany), 2014-10, Vol.18 (10), p.1985-1998

2014

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Bioinformatics analysis of disordered proteins in prokaryotes

BMC bioinformatics, 2011-03, Vol.12 (1), p.66-66, Article 66

2011

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Teaching computing for complex problems in civil engineering and geosciences using big data and machine learning: synergizing four different computing paradigms and four different management domains

Journal of big data, 2023-12, Vol.10 (1), p.89-25

2023

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Bioinformatics analysis of SARS coronavirus genome polymorphism

BMC bioinformatics, 2004-05, Vol.5 (1), p.65-65, Article 65

2004

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Software tools for simultaneous data visualization and T cell epitopes and disorder prediction in proteins

Journal of biomedical informatics, 2016-04, Vol.60, p.120-131

2016

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Could n-gram analysis contribute to genomic island determination?

Journal of biomedical informatics, 2008-12, Vol.41 (6), p.936-943

2008

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Finding Statistically Significant Repeats in Nucleic Acids and Proteins

Journal of computational biology, 2018-04, Vol.25 (4), p.375-387

2018

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Data set of intrinsically disordered proteins analysed at a local protein conformation level

Data in brief, 2020-04, Vol.29, p.105383-105383, Article 105383

2020

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A structural entropy index to analyse local conformations in intrinsically disordered proteins: IDP PBs

Journal of structural biology, 2020-04, Vol.210 (1)

2020

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n -Gram characterization of genomic islands in bacterial genomes

Computer methods and programs in biomedicine, 2009-03, Vol.93 (3), p.241-256

2009

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SARS-CoV Genome Polymorphism： A Bioinformatics Study

Genomics, proteomics & bioinformatics, 2005, Vol.3 (1), p.18-35

2005

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Single-cell mRNA Profiles in PBMC

2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2020, p.1318-1323

2020

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Classification of Single Cell Types using Small Sets of Expressed Genes: Comparative Analysis of Supervised Machine Learning Methods

2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021, p.3322-3326

2021

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Prediction of PBMC Cell Types Using scRNAseq Reference Profiles

2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2020, p.1324-1328

2020

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PBMC Cell Classification from Single Cell mRNA Expression by Artificial Neural Networks, Profiles, Gene Markers, and Protein Markers

2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021, p.3285-3290

2021

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Applications of single cell profiles of PBMC:Improvements of cell type classification

2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021, p.3334-3340

2021

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Application of the Retail-Minus on price regulation in wholesale market of electronic communications

2013 11th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Services (TELSIKS), 2013, Vol.1, p.133-136

2013

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Prediction of structural alphabet protein blocks using data mining

Structural disorder of plasmid-encoded proteins in Bacteria and Archaea

Epitope distribution in ordered and disordered protein regions. Part B — Ordered regions and disordered binding sites are targets of T- and B-cell immunity

A structural entropy index to analyse local conformations in intrinsically disordered proteins

Entropy-driven translocation of disordered proteins through the Gram-positive bacterial cell wall

Epitope distribution in ordered and disordered protein regions — Part A. T-cell epitope frequency, affinity and hydropathy

BioGraph: Data Model for Linking and Querying Diverse Biological Metadata

Electromagnetism-like algorithm for support vector machine parameter tuning

Bioinformatics analysis of disordered proteins in prokaryotes

Teaching computing for complex problems in civil engineering and geosciences using big data and machine learning: synergizing four different computing paradigms and four different management domains

Bioinformatics analysis of SARS coronavirus genome polymorphism

Software tools for simultaneous data visualization and T cell epitopes and disorder prediction in proteins

Could n-gram analysis contribute to genomic island determination?

Research in computing-intensive simulations for nature-oriented civil-engineering and related scientific fields, using machine learning and big data: an overview of open problems

Finding Statistically Significant Repeats in Nucleic Acids and Proteins

Data set of intrinsically disordered proteins analysed at a local protein conformation level

A structural entropy index to analyse local conformations in intrinsically disordered proteins: IDP PBs

n -Gram characterization of genomic islands in bacterial genomes

SARS-CoV Genome Polymorphism： A Bioinformatics Study

Single-cell mRNA Profiles in PBMC

Classification of Single Cell Types using Small Sets of Expressed Genes: Comparative Analysis of Supervised Machine Learning Methods

Prediction of PBMC Cell Types Using scRNAseq Reference Profiles

PBMC Cell Classification from Single Cell mRNA Expression by Artificial Neural Networks, Profiles, Gene Markers, and Protein Markers

Applications of single cell profiles of PBMC:Improvements of cell type classification

Application of the Retail-Minus on price regulation in wholesale market of electronic communications

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