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1
Intrinsically Bayesian robust classifier for single-cell gene expression trajectories in gene regulatory networks
Intrinsically Bayesian robust classifier for single-cell gene expression trajectories in gene regulatory networks
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Intrinsically Bayesian robust classifier for single-cell gene expression trajectories in gene regulatory networks

BMC systems biology, 2018-03, Vol.12 (Suppl 3), p.23-23, Article 23 [Peer Reviewed Journal]

The Author(s) 2018 ;ISSN: 1752-0509 ;EISSN: 1752-0509 ;DOI: 10.1186/s12918-018-0549-y ;PMID: 29589564

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2
Methylation array profiling of adult brain tumours: diagnostic outcomes in a large, single centre
Methylation array profiling of adult brain tumours: diagnostic outcomes in a large, single centre
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Methylation array profiling of adult brain tumours: diagnostic outcomes in a large, single centre

Acta neuropathologica communications, 2019-02, Vol.7 (1), p.24-24, Article 24 [Peer Reviewed Journal]

COPYRIGHT 2019 BioMed Central Ltd. ;COPYRIGHT 2019 BioMed Central Ltd. ;Copyright © 2019. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s). 2019 ;ISSN: 2051-5960 ;EISSN: 2051-5960 ;DOI: 10.1186/s40478-019-0668-8 ;PMID: 30786920

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3
Keeping up with the genomes: efficient learning of our increasing knowledge of the tree of life
Keeping up with the genomes: efficient learning of our increasing knowledge of the tree of life
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Keeping up with the genomes: efficient learning of our increasing knowledge of the tree of life

BMC bioinformatics, 2020-09, Vol.21 (1), p.412-412, Article 412 [Peer Reviewed Journal]

COPYRIGHT 2020 BioMed Central Ltd. ;2020. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2020 ;ISSN: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/s12859-020-03744-7 ;PMID: 32957925

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4
CCMetagen: comprehensive and accurate identification of eukaryotes and prokaryotes in metagenomic data
CCMetagen: comprehensive and accurate identification of eukaryotes and prokaryotes in metagenomic data
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CCMetagen: comprehensive and accurate identification of eukaryotes and prokaryotes in metagenomic data

Genome Biology, 2020-04, Vol.21 (1), p.103-15, Article 103 [Peer Reviewed Journal]

2020. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2020 ;ISSN: 1474-760X ;ISSN: 1474-7596 ;EISSN: 1474-760X ;DOI: 10.1186/s13059-020-02014-2 ;PMID: 32345331

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5
Exact p-values for pairwise comparison of Friedman rank sums, with application to comparing classifiers
Exact p-values for pairwise comparison of Friedman rank sums, with application to comparing classifiers
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Exact p-values for pairwise comparison of Friedman rank sums, with application to comparing classifiers

BMC bioinformatics, 2017-01, Vol.18 (1), p.68-68, Article 68 [Peer Reviewed Journal]

COPYRIGHT 2017 BioMed Central Ltd. ;Copyright BioMed Central 2017 ;The Author(s). 2017 ;ISSN: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/s12859-017-1486-2 ;PMID: 28122501

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6
Evaluation of taxonomic classification and profiling methods for long-read shotgun metagenomic sequencing datasets
Evaluation of taxonomic classification and profiling methods for long-read shotgun metagenomic sequencing datasets
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Evaluation of taxonomic classification and profiling methods for long-read shotgun metagenomic sequencing datasets

BMC bioinformatics, 2022-12, Vol.23 (1), p.541-541 [Peer Reviewed Journal]

2022. The Author(s). ;COPYRIGHT 2022 BioMed Central Ltd. ;2022. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2022 ;ISSN: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/s12859-022-05103-0 ;PMID: 36513983

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7
EnsembleFam: towards more accurate protein family prediction in the twilight zone
EnsembleFam: towards more accurate protein family prediction in the twilight zone
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EnsembleFam: towards more accurate protein family prediction in the twilight zone

BMC bioinformatics, 2022-03, Vol.23 (1), p.90-90, Article 90 [Peer Reviewed Journal]

2022. The Author(s). ;The Author(s) 2022 ;ISSN: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/s12859-022-04626-w ;PMID: 35287576

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8
Evaluation of Bayesian classifiers in asthma exacerbation prediction after medication discontinuation
Evaluation of Bayesian classifiers in asthma exacerbation prediction after medication discontinuation
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Evaluation of Bayesian classifiers in asthma exacerbation prediction after medication discontinuation

BMC research notes, 2018-07, Vol.11 (1), p.522-522, Article 522 [Peer Reviewed Journal]

COPYRIGHT 2018 BioMed Central Ltd. ;COPYRIGHT 2018 BioMed Central Ltd. ;2018. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2018 ;ISSN: 1756-0500 ;EISSN: 1756-0500 ;DOI: 10.1186/s13104-018-3621-1 ;PMID: 30064478

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9
Prediction of plant lncRNA by ensemble machine learning classifiers
Prediction of plant lncRNA by ensemble machine learning classifiers
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Prediction of plant lncRNA by ensemble machine learning classifiers

BMC genomics, 2018-05, Vol.19 (1), p.316-316, Article 316 [Peer Reviewed Journal]

COPYRIGHT 2018 BioMed Central Ltd. ;COPYRIGHT 2018 BioMed Central Ltd. ;The Author(s) 2018 ;ISSN: 1471-2164 ;EISSN: 1471-2164 ;DOI: 10.1186/s12864-018-4665-2 ;PMID: 29720103

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10
Gene selection for cancer identification: a decision tree model empowered by particle swarm optimization algorithm
Gene selection for cancer identification: a decision tree model empowered by particle swarm optimization algorithm
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Gene selection for cancer identification: a decision tree model empowered by particle swarm optimization algorithm

BMC bioinformatics, 2014-02, Vol.15 (1), p.49-49, Article 49 [Peer Reviewed Journal]

COPYRIGHT 2014 BioMed Central Ltd. ;2014 Chen et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. ;Copyright © 2014 Chen et al.; licensee BioMed Central Ltd. 2014 Chen et al.; licensee BioMed Central Ltd. ;ISSN: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/1471-2105-15-49 ;PMID: 24555567

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11
Defining response to TNF-inhibitors in rheumatoid arthritis: the negative impact of anti-TNF cycling and the need for a personalized medicine approach to identify primary non-responders
Defining response to TNF-inhibitors in rheumatoid arthritis: the negative impact of anti-TNF cycling and the need for a personalized medicine approach to identify primary non-responders
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Defining response to TNF-inhibitors in rheumatoid arthritis: the negative impact of anti-TNF cycling and the need for a personalized medicine approach to identify primary non-responders

Clinical rheumatology, 2019-11, Vol.38 (11), p.2967-2976 [Peer Reviewed Journal]

The Author(s) 2019 ;Clinical Rheumatology is a copyright of Springer, (2019). All Rights Reserved. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0770-3198 ;EISSN: 1434-9949 ;DOI: 10.1007/s10067-019-04684-1 ;PMID: 31520227

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12
Comparison of five supervised feature selection algorithms leading to top features and gene signatures from multi-omics data in cancer
Comparison of five supervised feature selection algorithms leading to top features and gene signatures from multi-omics data in cancer
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Comparison of five supervised feature selection algorithms leading to top features and gene signatures from multi-omics data in cancer

BMC bioinformatics, 2022-04, Vol.23 (Suppl 3), p.153-153, Article 153 [Peer Reviewed Journal]

2022. The Author(s). ;COPYRIGHT 2022 BioMed Central Ltd. ;2022. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2022 ;ISSN: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/s12859-022-04678-y ;PMID: 35484501

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13
Genome-enabled prediction using probabilistic neural network classifiers
Genome-enabled prediction using probabilistic neural network classifiers
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Genome-enabled prediction using probabilistic neural network classifiers

BMC genomics, 2016-03, Vol.17 (1), p.208, Article 208 [Peer Reviewed Journal]

González-Camacho et al. 2016 ;ISSN: 1471-2164 ;EISSN: 1471-2164 ;DOI: 10.1186/s12864-016-2553-1 ;PMID: 26956885

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14
Classifying kinase conformations using a machine learning approach
Classifying kinase conformations using a machine learning approach
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Classifying kinase conformations using a machine learning approach

BMC bioinformatics, 2017-02, Vol.18 (1), p.86-86, Article 86 [Peer Reviewed Journal]

COPYRIGHT 2017 BioMed Central Ltd. ;The Author(s). 2017 ;ISSN: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/s12859-017-1506-2 ;PMID: 28152981

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15
The use of taxon-specific reference databases compromises metagenomic classification
The use of taxon-specific reference databases compromises metagenomic classification
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The use of taxon-specific reference databases compromises metagenomic classification

BMC genomics, 2020-02, Vol.21 (1), p.184-5, Article 184 [Peer Reviewed Journal]

COPYRIGHT 2020 BioMed Central Ltd. ;COPYRIGHT 2020 BioMed Central Ltd. ;2020. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s). 2020 ;ISSN: 1471-2164 ;EISSN: 1471-2164 ;DOI: 10.1186/s12864-020-6592-2 ;PMID: 32106809

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16
Classification of tumor types using XGBoost machine learning model: a vector space transformation of genomic alterations
Classification of tumor types using XGBoost machine learning model: a vector space transformation of genomic alterations
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Classification of tumor types using XGBoost machine learning model: a vector space transformation of genomic alterations

Journal of translational medicine, 2023-11, Vol.21 (1), p.836-836, Article 836 [Peer Reviewed Journal]

2023. The Author(s). ;COPYRIGHT 2023 BioMed Central Ltd. ;2023. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1479-5876 ;EISSN: 1479-5876 ;DOI: 10.1186/s12967-023-04720-4 ;PMID: 37990214

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17
Gene expression signatures of neuroendocrine prostate cancer and primary small cell prostatic carcinoma
Gene expression signatures of neuroendocrine prostate cancer and primary small cell prostatic carcinoma
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Gene expression signatures of neuroendocrine prostate cancer and primary small cell prostatic carcinoma

BMC cancer, 2017-11, Vol.17 (1), p.759-759, Article 759 [Peer Reviewed Journal]

COPYRIGHT 2017 BioMed Central Ltd. ;COPYRIGHT 2017 BioMed Central Ltd. ;The Author(s). 2017 ;ISSN: 1471-2407 ;EISSN: 1471-2407 ;DOI: 10.1186/s12885-017-3729-z ;PMID: 29132337

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18
Cooperation between artificial intelligence and endoscopists for diagnosing invasion depth of early gastric cancer
Cooperation between artificial intelligence and endoscopists for diagnosing invasion depth of early gastric cancer
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Cooperation between artificial intelligence and endoscopists for diagnosing invasion depth of early gastric cancer

Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association, 2023-01, Vol.26 (1), p.116-122 [Peer Reviewed Journal]

The Author(s) 2022 ;ISSN: 1436-3291 ;EISSN: 1436-3305 ;DOI: 10.1007/s10120-022-01330-9

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19
Predictis: an IoT and machine learning-based system to predict risk level of cardio-vascular diseases
Predictis: an IoT and machine learning-based system to predict risk level of cardio-vascular diseases
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Predictis: an IoT and machine learning-based system to predict risk level of cardio-vascular diseases

BMC health services research, 2023-02, Vol.23 (1), p.171-171, Article 171 [Peer Reviewed Journal]

2023. The Author(s). ;COPYRIGHT 2023 BioMed Central Ltd. ;2023. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2023 ;ISSN: 1472-6963 ;EISSN: 1472-6963 ;DOI: 10.1186/s12913-023-09104-4 ;PMID: 36803252

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20
Protein ligand-specific binding residue predictions by an ensemble classifier
Protein ligand-specific binding residue predictions by an ensemble classifier
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Protein ligand-specific binding residue predictions by an ensemble classifier

BMC bioinformatics, 2016-11, Vol.17 (1), p.470-470, Article 470 [Peer Reviewed Journal]

COPYRIGHT 2016 BioMed Central Ltd. ;Copyright BioMed Central 2016 ;The Author(s). 2016 ;ISSN: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/s12859-016-1348-3 ;PMID: 27855637

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