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1
Accuracy and Efficiency of Deep-Learning–Based Automation of Dual Stain Cytology in Cervical Cancer Screening
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Accuracy and Efficiency of Deep-Learning–Based Automation of Dual Stain Cytology in Cervical Cancer Screening

JNCI : Journal of the National Cancer Institute, 2021-01, Vol.113 (1), p.72-79 [Peer Reviewed Journal]

The Author(s) 2020. Published by Oxford University Press. 2020 ;The Author(s) 2020. Published by Oxford University Press. ;ISSN: 0027-8874 ;EISSN: 1460-2105 ;DOI: 10.1093/jnci/djaa066 ;PMID: 32584382

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2
DISOPRED3: precise disordered region predictions with annotated protein-binding activity
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DISOPRED3: precise disordered region predictions with annotated protein-binding activity

Bioinformatics, 2015-03, Vol.31 (6), p.857-863 [Peer Reviewed Journal]

The Author 2014. Published by Oxford University Press. ;The Author 2014. Published by Oxford University Press. 2014 ;ISSN: 1367-4803 ;EISSN: 1367-4811 ;EISSN: 1460-2059 ;DOI: 10.1093/bioinformatics/btu744 ;PMID: 25391399

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3
Galaxy Zoo: quantitative visual morphological classifications for 48 000 galaxies from CANDELS
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Galaxy Zoo: quantitative visual morphological classifications for 48 000 galaxies from CANDELS

Monthly notices of the Royal Astronomical Society, 2017-02, Vol.464, p.4420-4447 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0035-8711 ;EISSN: 1365-2966 ;DOI: 10.1093/mnras/stw2587

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4
PRROC: computing and visualizing precision-recall and receiver operating characteristic curves in R
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PRROC: computing and visualizing precision-recall and receiver operating characteristic curves in R

Bioinformatics, 2015-08, Vol.31 (15), p.2595-2597 [Peer Reviewed Journal]

The Author 2015. Published by Oxford University Press. ;The Author 2015. Published by Oxford University Press. 2015 ;ISSN: 1367-4803 ;EISSN: 1367-4811 ;EISSN: 1460-2059 ;DOI: 10.1093/bioinformatics/btv153 ;PMID: 25810428

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5
Evaluation of single-cell classifiers for single-cell RNA sequencing data sets
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Evaluation of single-cell classifiers for single-cell RNA sequencing data sets

Briefings in bioinformatics, 2020-09, Vol.21 (5), p.1581-1595 [Peer Reviewed Journal]

The Author(s) 2019. Published by Oxford University Press. 2018 ;The Author(s) 2019. Published by Oxford University Press. ;ISSN: 1467-5463 ;EISSN: 1477-4054 ;DOI: 10.1093/bib/bbz096 ;PMID: 31675098

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6
MultiP-SChlo: multi-label protein subchloroplast localization prediction with Chou's pseudo amino acid composition and a novel multi-label classifier
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MultiP-SChlo: multi-label protein subchloroplast localization prediction with Chou's pseudo amino acid composition and a novel multi-label classifier

Bioinformatics, 2015-08, Vol.31 (16), p.2639-2645 [Peer Reviewed Journal]

The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com. ;ISSN: 1367-4803 ;EISSN: 1367-4811 ;EISSN: 1460-2059 ;DOI: 10.1093/bioinformatics/btv212 ;PMID: 25900916

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7
TACOS: a novel approach for accurate prediction of cell-specific long noncoding RNAs subcellular localization
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TACOS: a novel approach for accurate prediction of cell-specific long noncoding RNAs subcellular localization

Briefings in bioinformatics, 2022-07, Vol.23 (4) [Peer Reviewed Journal]

The Author(s) 2022. Published by Oxford University Press. 2022 ;The Author(s) 2022. Published by Oxford University Press. ;ISSN: 1467-5463 ;EISSN: 1477-4054 ;DOI: 10.1093/bib/bbac243 ;PMID: 35753698

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8
Urinary peptide-based classifier CKD273: towards clinical application in chronic kidney disease
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Urinary peptide-based classifier CKD273: towards clinical application in chronic kidney disease

Clinical kidney journal, 2017-04, Vol.10 (2), p.192-201 [Peer Reviewed Journal]

The Author 2017. Published by Oxford University Press on behalf of ERA-EDTA. 2017 ;ISSN: 2048-8505 ;EISSN: 2048-8513 ;DOI: 10.1093/ckj/sfx002 ;PMID: 28694965

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9
Positive-unlabeled learning in bioinformatics and computational biology: a brief review
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Positive-unlabeled learning in bioinformatics and computational biology: a brief review

Briefings in bioinformatics, 2022-01, Vol.23 (1) [Peer Reviewed Journal]

The Author(s) 2021. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com 2021 ;The Author(s) 2021. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com. ;The Author(s) 2021. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com ;ISSN: 1467-5463 ;EISSN: 1477-4054 ;DOI: 10.1093/bib/bbab461 ;PMID: 34729589

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10
Identifying anti-coronavirus peptides by incorporating different negative datasets and imbalanced learning strategies
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Identifying anti-coronavirus peptides by incorporating different negative datasets and imbalanced learning strategies

Briefings in Bioinformatics, 2021-03, Vol.22 (2), p.1085-1095 [Peer Reviewed Journal]

The Author(s) 2021. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com 2021 ;The Author(s) 2021. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com. ;2021. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the associated terms available at https://academic.oup.com/journals/pages/coronavirus . ;The Author(s) 2021. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com ;ISSN: 1467-5463 ;EISSN: 1477-4054 ;DOI: 10.1093/bib/bbaa423 ;PMID: 33497434

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11
Star/galaxy separation at faint magnitudes: application to a simulated Dark Energy Survey
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Article
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Star/galaxy separation at faint magnitudes: application to a simulated Dark Energy Survey

Monthly notices of the Royal Astronomical Society, 2015-06, Vol.450, p.666-680 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0035-8711 ;EISSN: 1365-2966 ;DOI: 10.1093/mnras/stu1410

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12
Predicting protein–membrane interfaces of peripheral membrane proteins using ensemble machine learning
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Article
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Predicting protein–membrane interfaces of peripheral membrane proteins using ensemble machine learning

Briefings in bioinformatics, 2022-03, Vol.23 (2) [Peer Reviewed Journal]

The Author(s) 2022. Published by Oxford University Press. 2022 ;The Author(s) 2022. Published by Oxford University Press. ;ISSN: 1467-5463 ;EISSN: 1477-4054 ;DOI: 10.1093/bib/bbab518 ;PMID: 35152294

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13
R5hmCFDV: computational identification of RNA 5-hydroxymethylcytosine based on deep feature fusion and deep voting
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R5hmCFDV: computational identification of RNA 5-hydroxymethylcytosine based on deep feature fusion and deep voting

Briefings in bioinformatics, 2022-09, Vol.23 (5) [Peer Reviewed Journal]

The Author(s) 2022. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com 2022 ;The Author(s) 2022. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com ;ISSN: 1467-5463 ;EISSN: 1477-4054 ;DOI: 10.1093/bib/bbac341

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14
StaBle-ABPpred: a stacked ensemble predictor based on biLSTM and attention mechanism for accelerated discovery of antibacterial peptides
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StaBle-ABPpred: a stacked ensemble predictor based on biLSTM and attention mechanism for accelerated discovery of antibacterial peptides

Briefings in bioinformatics, 2022-01, Vol.23 (1) [Peer Reviewed Journal]

The Author(s) 2021. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com 2021 ;The Author(s) 2021. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com. ;The Author(s) 2021. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com ;ISSN: 1467-5463 ;EISSN: 1477-4054 ;DOI: 10.1093/bib/bbab439 ;PMID: 34750606

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15
Computational prediction of species-specific yeast DNA replication origin via iterative feature representation
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Article
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Computational prediction of species-specific yeast DNA replication origin via iterative feature representation

Briefings in bioinformatics, 2021-07, Vol.22 (4) [Peer Reviewed Journal]

The Author(s) 2020. Published by Oxford University Press. 2020 ;The Author(s) 2020. Published by Oxford University Press. ;ISSN: 1467-5463 ;EISSN: 1477-4054 ;DOI: 10.1093/bib/bbaa304 ;PMID: 33232970

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16
Universal adversarial examples and perturbations for quantum classifiers
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Universal adversarial examples and perturbations for quantum classifiers

National science review, 2022-06, Vol.9 (6), p.nwab130-nwab130 [Peer Reviewed Journal]

The Author(s) 2021. Published by Oxford University Press on behalf of China Science Publishing & Media Ltd. 2022 ;The Author(s) 2021. Published by Oxford University Press on behalf of China Science Publishing & Media Ltd. ;ISSN: 2095-5138 ;EISSN: 2053-714X ;DOI: 10.1093/nsr/nwab130 ;PMID: 36590599

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17
Predicting novel microRNA: a comprehensive comparison of machine learning approaches
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Predicting novel microRNA: a comprehensive comparison of machine learning approaches

Briefings in bioinformatics, 2019-09, Vol.20 (5), p.1607-1620 [Peer Reviewed Journal]

The Author(s) 2018. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com 2018 ;The Author(s) 2018. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com. ;The Author(s) 2018. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com ;ISSN: 1467-5463 ;EISSN: 1477-4054 ;DOI: 10.1093/bib/bby037 ;PMID: 29800232

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18
Machine Learning Techniques for Classifying the Mutagenic Origins of Point Mutations
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Machine Learning Techniques for Classifying the Mutagenic Origins of Point Mutations

Genetics (Austin), 2020-05, Vol.215 (1), p.25-40 [Peer Reviewed Journal]

Copyright © 2020 Zhu et al . 2020 ;Copyright © 2020 Zhu et al. ;Copyright Genetics Society of America May 2020 ;Copyright © 2020 Zhu . 2020 ;ISSN: 1943-2631 ;ISSN: 0016-6731 ;EISSN: 1943-2631 ;DOI: 10.1534/genetics.120.303093 ;PMID: 32193188

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19
Deep-AFPpred: identifying novel antifungal peptides using pretrained embeddings from seq2vec with 1DCNN-BiLSTM
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Deep-AFPpred: identifying novel antifungal peptides using pretrained embeddings from seq2vec with 1DCNN-BiLSTM

Briefings in bioinformatics, 2022-01, Vol.23 (1) [Peer Reviewed Journal]

The Author(s) 2021. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com 2021 ;The Author(s) 2021. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com. ;The Author(s) 2021. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com ;ISSN: 1467-5463 ;EISSN: 1477-4054 ;DOI: 10.1093/bib/bbab422 ;PMID: 34670278

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20
A diagnostic genomic signal processing (GSP)-based system for automatic feature analysis and detection of COVID-19
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A diagnostic genomic signal processing (GSP)-based system for automatic feature analysis and detection of COVID-19

Briefings in bioinformatics, 2021-03, Vol.22 (2), p.1197-1205 [Peer Reviewed Journal]

The Author(s) 2020. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com 2020 ;The Author(s) 2020. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com. ;The Author(s) 2020. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com ;ISSN: 1467-5463 ;EISSN: 1477-4054 ;DOI: 10.1093/bib/bbaa170 ;PMID: 32793981

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