skip to main content
Language:
Search Limited to: Search Limited to: Resource type Show Results with: Show Results with: Search type Index

Results 1 - 20 of 59  for All Library Resources

Sorted by: Sorted by: RelevanceOr hit Enter to replace sort method
Results 1 2 3 next page
Refined by: Database: MEDLINE remove Database: SpringerOpen remove
Result Number Material Type Add to My Shelf Action Record Details and Options
1
So you think you can PLS-DA?
So you think you can PLS-DA?
Material Type:
Article 		Add to My Research

So you think you can PLS-DA?

BMC bioinformatics, 2020-12, Vol.21 (Suppl 1), p.2-2, Article 2 [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/s12859-019-3310-7 ;PMID: 33297937

Full text available

Citations Cited by
2
Statistical power for cluster analysis
Statistical power for cluster analysis
Material Type:
Article 		Add to My Research

Statistical power for cluster analysis

BMC bioinformatics, 2022-05, Vol.23 (1), p.205-205, Article 205 [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/s12859-022-04675-1 ;PMID: 35641905

Full text available

Citations Cited by
3
CIDR: Ultrafast and accurate clustering through imputation for single-cell RNA-seq data
CIDR: Ultrafast and accurate clustering through imputation for single-cell RNA-seq data
Material Type:
Article 		Add to My Research

CIDR: Ultrafast and accurate clustering through imputation for single-cell RNA-seq data

Genome Biology, 2017-03, Vol.18 (1), p.59-59, Article 59 [Peer Reviewed Journal]

2017. 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) 2017 ;ISSN: 1474-760X ;ISSN: 1474-7596 ;EISSN: 1474-760X ;DOI: 10.1186/s13059-017-1188-0 ;PMID: 28351406

Full text available

Citations Cited by
4
Pretata: predicting TATA binding proteins with novel features and dimensionality reduction strategy
Pretata: predicting TATA binding proteins with novel features and dimensionality reduction strategy
Material Type:
Article 		Add to My Research

Pretata: predicting TATA binding proteins with novel features and dimensionality reduction strategy

BMC systems biology, 2016-12, Vol.10 (Suppl 4), p.114-114, Article 114 [Peer Reviewed Journal]

COPYRIGHT 2016 BioMed Central Ltd. ;COPYRIGHT 2016 BioMed Central Ltd. ;Copyright BioMed Central 2016 ;The Author(s). 2016 ;ISSN: 1752-0509 ;EISSN: 1752-0509 ;DOI: 10.1186/s12918-016-0353-5 ;PMID: 28155714

Full text available

Citations Cited by
5
A deep adversarial variational autoencoder model for dimensionality reduction in single-cell RNA sequencing analysis
A deep adversarial variational autoencoder model for dimensionality reduction in single-cell RNA sequencing analysis
Material Type:
Article 		Add to My Research

A deep adversarial variational autoencoder model for dimensionality reduction in single-cell RNA sequencing analysis

BMC bioinformatics, 2020-02, Vol.21 (1), p.64-64, Article 64 [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/s12859-020-3401-5 ;PMID: 32085701

Full text available

Citations Cited by
6
Compressing gene expression data using multiple latent space dimensionalities learns complementary biological representations
Compressing gene expression data using multiple latent space dimensionalities learns complementary biological representations
Material Type:
Article 		Add to My Research

Compressing gene expression data using multiple latent space dimensionalities learns complementary biological representations

Genome Biology, 2020-05, Vol.21 (1), p.109-109, Article 109 [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/s13059-020-02021-3 ;PMID: 32393369

Full text available

Citations Cited by
7
An empirical fuzzy multifactor dimensionality reduction method for detecting gene-gene interactions
An empirical fuzzy multifactor dimensionality reduction method for detecting gene-gene interactions
Material Type:
Article 		Add to My Research

An empirical fuzzy multifactor dimensionality reduction method for detecting gene-gene interactions

BMC genomics, 2017-03, Vol.18 (Suppl 2), p.115-115, Article 115 [Peer Reviewed Journal]

Copyright BioMed Central 2017 ;2017. 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). 2017 ;ISSN: 1471-2164 ;EISSN: 1471-2164 ;DOI: 10.1186/s12864-017-3496-x ;PMID: 28361694

Full text available

Citations Cited by
8
An efficiency analysis of high-order combinations of gene-gene interactions using multifactor-dimensionality reduction
An efficiency analysis of high-order combinations of gene-gene interactions using multifactor-dimensionality reduction
Material Type:
Article 		Add to My Research

An efficiency analysis of high-order combinations of gene-gene interactions using multifactor-dimensionality reduction

BMC genomics, 2015-07, Vol.16 (1), p.489-489, Article 489 [Peer Reviewed Journal]

COPYRIGHT 2015 BioMed Central Ltd. ;COPYRIGHT 2015 BioMed Central Ltd. ;Copyright BioMed Central 2015 ;Yang et al. 2015 ;ISSN: 1471-2164 ;EISSN: 1471-2164 ;DOI: 10.1186/s12864-015-1717-8 ;PMID: 26126977

Full text available

Citations Cited by
9
SuperCellCyto: enabling efficient analysis of large scale cytometry datasets
SuperCellCyto: enabling efficient analysis of large scale cytometry datasets
Material Type:
Article 		Add to My Research

SuperCellCyto: enabling efficient analysis of large scale cytometry datasets

Genome Biology, 2024-04, Vol.25 (1), p.89-89 [Peer Reviewed Journal]

2024. The Author(s). ;2024. 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) 2024 ;ISSN: 1474-7596 ;EISSN: 1474-760X ;DOI: 10.1186/s13059-024-03229-3 ;PMID: 38589921

Full text available

Citations Cited by
10
GoM DE: interpreting structure in sequence count data with differential expression analysis allowing for grades of membership
GoM DE: interpreting structure in sequence count data with differential expression analysis allowing for grades of membership
Material Type:
Article 		Add to My Research

GoM DE: interpreting structure in sequence count data with differential expression analysis allowing for grades of membership

Genome Biology, 2023-10, Vol.24 (1), p.236-236, Article 236 [Peer Reviewed Journal]

2023. BioMed Central Ltd., part of Springer Nature. ;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. ;BioMed Central Ltd., part of Springer Nature 2023 ;ISSN: 1474-760X ;ISSN: 1474-7596 ;EISSN: 1474-760X ;DOI: 10.1186/s13059-023-03067-9 ;PMID: 37858253

Full text available

Citations Cited by
11
Using transfer learning and dimensionality reduction techniques to improve generalisability of machine-learning predictions of mosquito ages from mid-infrared spectra
Using transfer learning and dimensionality reduction techniques to improve generalisability of machine-learning predictions of mosquito ages from mid-infrared spectra
Material Type:
Article 		Add to My Research

Using transfer learning and dimensionality reduction techniques to improve generalisability of machine-learning predictions of mosquito ages from mid-infrared spectra

BMC bioinformatics, 2023-01, Vol.24 (1), p.11-11, Article 11 [Peer Reviewed Journal]

2023. The Author(s). ;COPYRIGHT 2023 BioMed Central Ltd. ;The Author(s) 2023 ;ISSN: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/s12859-022-05128-5 ;PMID: 36624386

Full text available

Citations Cited by
12
Analysis of single-cell RNA sequencing data based on autoencoders
Analysis of single-cell RNA sequencing data based on autoencoders
Material Type:
Article 		Add to My Research

Analysis of single-cell RNA sequencing data based on autoencoders

BMC bioinformatics, 2021-06, Vol.22 (1), p.309-309, Article 309 [Peer Reviewed Journal]

COPYRIGHT 2021 BioMed Central Ltd. ;2021. 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) 2021 ;ISSN: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/s12859-021-04150-3 ;PMID: 34103004

Full text available

Citations Cited by
13
Gene targeting in amyotrophic lateral sclerosis using causality-based feature selection and machine learning
Gene targeting in amyotrophic lateral sclerosis using causality-based feature selection and machine learning
Material Type:
Article 		Add to My Research

Gene targeting in amyotrophic lateral sclerosis using causality-based feature selection and machine learning

Molecular medicine (Cambridge, Mass.), 2023-01, Vol.29 (1), p.12-12, Article 12 [Peer Reviewed Journal]

2023. The Author(s). ;The Author(s) 2023 ;ISSN: 1528-3658 ;ISSN: 1076-1551 ;EISSN: 1528-3658 ;DOI: 10.1186/s10020-023-00603-y ;PMID: 36694130

Full text available

Citations Cited by
14
The effect of data transformation on low-dimensional integration of single-cell RNA-seq
The effect of data transformation on low-dimensional integration of single-cell RNA-seq
Material Type:
Article 		Add to My Research

The effect of data transformation on low-dimensional integration of single-cell RNA-seq

BMC bioinformatics, 2024-04, Vol.25 (1), p.171-171 [Peer Reviewed Journal]

2024. The Author(s). ;COPYRIGHT 2024 BioMed Central Ltd. ;2024. 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) 2024 ;ISSN: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/s12859-024-05788-5 ;PMID: 38689234

Full text available

Citations Cited by
15
Exploring combinations of dimensionality reduction, transfer learning, and regularization methods for predicting binary phenotypes with transcriptomic data
Exploring combinations of dimensionality reduction, transfer learning, and regularization methods for predicting binary phenotypes with transcriptomic data
Material Type:
Article 		Add to My Research

Exploring combinations of dimensionality reduction, transfer learning, and regularization methods for predicting binary phenotypes with transcriptomic data

BMC bioinformatics, 2024-04, Vol.25 (1), p.167-167 [Peer Reviewed Journal]

2024. The Author(s). ;COPYRIGHT 2024 BioMed Central Ltd. ;2024. 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: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/s12859-024-05795-6 ;PMID: 38671342

Full text available

Citations Cited by
16
scBFA: modeling detection patterns to mitigate technical noise in large-scale single-cell genomics data
scBFA: modeling detection patterns to mitigate technical noise in large-scale single-cell genomics data
Material Type:
Article 		Add to My Research

scBFA: modeling detection patterns to mitigate technical noise in large-scale single-cell genomics data

Genome Biology, 2019-09, Vol.20 (1), p.193-193, Article 193 [Peer Reviewed Journal]

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: 1474-760X ;ISSN: 1474-7596 ;EISSN: 1474-760X ;DOI: 10.1186/s13059-019-1806-0 ;PMID: 31500668

Full text available

Citations Cited by
17
FastProject: a tool for low-dimensional analysis of single-cell RNA-Seq data
FastProject: a tool for low-dimensional analysis of single-cell RNA-Seq data
Material Type:
Article 		Add to My Research

FastProject: a tool for low-dimensional analysis of single-cell RNA-Seq data

BMC bioinformatics, 2016-08, Vol.17 (1), p.315-315, Article 315 [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/s12859-016-1176-5 ;PMID: 27553427

Full text available

Citations Cited by
18
Neural manifold analysis of brain circuit dynamics in health and disease
Neural manifold analysis of brain circuit dynamics in health and disease
Material Type:
Article 		Add to My Research

Neural manifold analysis of brain circuit dynamics in health and disease

Journal of computational neuroscience, 2023-02, Vol.51 (1), p.1-21 [Peer Reviewed Journal]

The Author(s) 2022 ;2022. The Author(s). ;The Author(s) 2022. This work is published 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: 0929-5313 ;EISSN: 1573-6873 ;DOI: 10.1007/s10827-022-00839-3 ;PMID: 36522604

Full text available

Citations Cited by
19
Dynamic modeling of photoacoustic sensor data to classify human blood samples
Dynamic modeling of photoacoustic sensor data to classify human blood samples
Material Type:
Article 		Add to My Research

Dynamic modeling of photoacoustic sensor data to classify human blood samples

Medical & biological engineering & computing, 2024-02, Vol.62 (2), p.389-403 [Peer Reviewed Journal]

The Author(s) 2023 ;ISSN: 0140-0118 ;EISSN: 1741-0444 ;DOI: 10.1007/s11517-023-02939-3

Digital Resources/Online E-Resources

Citations Cited by
20
Core patient-reported outcome measures for chronic pain patients treated with spinal cord stimulation or dorsal root ganglia stimulation
Core patient-reported outcome measures for chronic pain patients treated with spinal cord stimulation or dorsal root ganglia stimulation
Material Type:
Article 		Add to My Research

Core patient-reported outcome measures for chronic pain patients treated with spinal cord stimulation or dorsal root ganglia stimulation

Health and quality of life outcomes, 2023-07, Vol.21 (1), p.77-77 [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: 1477-7525 ;EISSN: 1477-7525 ;DOI: 10.1186/s12955-023-02158-2 ;PMID: 37474950

Full text available

Citations Cited by

Results 1 - 20 of 59  for All Library Resources

Sorted by: Sorted by: RelevanceOr hit Enter to replace sort method
Results 1 2 3 next page

Personalize your results

  1. Edit

Refine Search Results

Expand My Results

  1.   

Refine My Results

Creation Date 

From To
Refine
  1. Before 2011  (4)
  2. 2011 To 2013  (10)
  3. 2014 To 2016  (9)
  4. 2017 To 2020  (23)
  5. After 2020  (14)
  6. More options open sub menu
INSPIRE LIBRARY - TON DUC THANG UNIVERSITY (84-028) 37 755 057 Feedback
19 Nguyen Huu Tho St. Dist.7, HCM thuvien@tdtu.edu.vn

Copyright © 2017 INSPIRE LIBRARY - TON DUC THANG UNIVERSITY

Searching Remote Databases, Please Wait