These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

355 related articles for article (PubMed ID: 34340767)

  • 1. Proteome analysis using machine learning approaches and its applications to diseases.
    Sengupta A; Naresh G; Mishra A; Parashar D; Narad P
    Adv Protein Chem Struct Biol; 2021; 127():161-216. PubMed ID: 34340767
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Application of machine learning to proteomics data: classification and biomarker identification in postgenomics biology.
    Swan AL; Mobasheri A; Allaway D; Liddell S; Bacardit J
    OMICS; 2013 Dec; 17(12):595-610. PubMed ID: 24116388
    [TBL] [Abstract][Full Text] [Related]  

  • 3. MSpectraAI: a powerful platform for deciphering proteome profiling of multi-tumor mass spectrometry data by using deep neural networks.
    Wang S; Zhu H; Zhou H; Cheng J; Yang H
    BMC Bioinformatics; 2020 Oct; 21(1):439. PubMed ID: 33028193
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A Deep Learning-Based Tumor Classifier Directly Using MS Raw Data.
    Dong H; Liu Y; Zeng WF; Shu K; Zhu Y; Chang C
    Proteomics; 2020 Nov; 20(21-22):e1900344. PubMed ID: 32643271
    [TBL] [Abstract][Full Text] [Related]  

  • 5. An introduction to artificial neural networks in bioinformatics--application to complex microarray and mass spectrometry datasets in cancer studies.
    Lancashire LJ; Lemetre C; Ball GR
    Brief Bioinform; 2009 May; 10(3):315-29. PubMed ID: 19307287
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Application of Machine Learning in Spatial Proteomics.
    Mou M; Pan Z; Lu M; Sun H; Wang Y; Luo Y; Zhu F
    J Chem Inf Model; 2022 Dec; 62(23):5875-5895. PubMed ID: 36378082
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Making MS Omics Data ML-Ready: SpeCollate Protocols.
    Tariq MU; Ebert S; Saeed F
    Methods Mol Biol; 2024; 2836():135-155. PubMed ID: 38995540
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Clinically Applicable Deep Learning Algorithm Using Quantitative Proteomic Data.
    Kim H; Kim Y; Han B; Jang JY; Kim Y
    J Proteome Res; 2019 Aug; 18(8):3195-3202. PubMed ID: 31314536
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A review on deep learning applications in highly multiplexed tissue imaging data analysis.
    Zidane M; Makky A; Bruhns M; Rochwarger A; Babaei S; Claassen M; Schürch CM
    Front Bioinform; 2023; 3():1159381. PubMed ID: 37564726
    [TBL] [Abstract][Full Text] [Related]  

  • 10. [Research progress of feature selection and machine learning methods for mass spectrometry-based protein biomarker discovery].
    Xu K; Han M; Huang C; Chang C; Zhu Y
    Sheng Wu Gong Cheng Xue Bao; 2019 Sep; 35(9):1619-1632. PubMed ID: 31559744
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Machine Learning in Mass Spectrometric Analysis of DIA Data.
    Xu LL; Young A; Zhou A; Röst HL
    Proteomics; 2020 Nov; 20(21-22):e1900352. PubMed ID: 32061181
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Deep Learning in Proteomics.
    Wen B; Zeng WF; Liao Y; Shi Z; Savage SR; Jiang W; Zhang B
    Proteomics; 2020 Nov; 20(21-22):e1900335. PubMed ID: 32939979
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Artificial intelligence applications for thoracic imaging.
    Chassagnon G; Vakalopoulou M; Paragios N; Revel MP
    Eur J Radiol; 2020 Feb; 123():108774. PubMed ID: 31841881
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Artificial intelligence: Deep learning in oncological radiomics and challenges of interpretability and data harmonization.
    Papadimitroulas P; Brocki L; Christopher Chung N; Marchadour W; Vermet F; Gaubert L; Eleftheriadis V; Plachouris D; Visvikis D; Kagadis GC; Hatt M
    Phys Med; 2021 Mar; 83():108-121. PubMed ID: 33765601
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Deep Learning and Its Applications in Biomedicine.
    Cao C; Liu F; Tan H; Song D; Shu W; Li W; Zhou Y; Bo X; Xie Z
    Genomics Proteomics Bioinformatics; 2018 Feb; 16(1):17-32. PubMed ID: 29522900
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Artificial Intelligence, Machine Learning, Deep Learning, and Cognitive Computing: What Do These Terms Mean and How Will They Impact Health Care?
    Bini SA
    J Arthroplasty; 2018 Aug; 33(8):2358-2361. PubMed ID: 29656964
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Deep Learning-Based Advances In Protein Posttranslational Modification Site and Protein Cleavage Prediction.
    Pakhrin SC; Pokharel S; Saigo H; Kc DB
    Methods Mol Biol; 2022; 2499():285-322. PubMed ID: 35696087
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Protein-DNA/RNA interactions: Machine intelligence tools and approaches in the era of artificial intelligence and big data.
    Cui F; Zhang Z; Cao C; Zou Q; Chen D; Su X
    Proteomics; 2022 Apr; 22(8):e2100197. PubMed ID: 35112474
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Recent developments in proteome informatics for mass spectrometry analysis.
    Wright JC; Hubbard SJ
    Comb Chem High Throughput Screen; 2009 Feb; 12(2):194-202. PubMed ID: 19199887
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Re-fraction: a machine learning approach for deterministic identification of protein homologues and splice variants in large-scale MS-based proteomics.
    Yang P; Humphrey SJ; Fazakerley DJ; Prior MJ; Yang G; James DE; Yang JY
    J Proteome Res; 2012 May; 11(5):3035-45. PubMed ID: 22428558
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 18.