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 *

137 related articles for article (PubMed ID: 33237966)

  • 1. Identifying transcriptomic correlates of histology using deep learning.
    Badea L; Stănescu E
    PLoS One; 2020; 15(11):e0242858. PubMed ID: 33237966
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A deep learning model to predict RNA-Seq expression of tumours from whole slide images.
    Schmauch B; Romagnoni A; Pronier E; Saillard C; Maillé P; Calderaro J; Kamoun A; Sefta M; Toldo S; Zaslavskiy M; Clozel T; Moarii M; Courtiol P; Wainrib G
    Nat Commun; 2020 Aug; 11(1):3877. PubMed ID: 32747659
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Deep learning features encode interpretable morphologies within histological images.
    Foroughi Pour A; White BS; Park J; Sheridan TB; Chuang JH
    Sci Rep; 2022 Jun; 12(1):9428. PubMed ID: 35676395
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Identifying common transcriptome signatures of cancer by interpreting deep learning models.
    Jha A; Quesnel-Vallières M; Wang D; Thomas-Tikhonenko A; Lynch KW; Barash Y
    Genome Biol; 2022 May; 23(1):117. PubMed ID: 35581644
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Pan-cancer integrative histology-genomic analysis via multimodal deep learning.
    Chen RJ; Lu MY; Williamson DFK; Chen TY; Lipkova J; Noor Z; Shaban M; Shady M; Williams M; Joo B; Mahmood F
    Cancer Cell; 2022 Aug; 40(8):865-878.e6. PubMed ID: 35944502
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Deep learning-based six-type classifier for lung cancer and mimics from histopathological whole slide images: a retrospective study.
    Yang H; Chen L; Cheng Z; Yang M; Wang J; Lin C; Wang Y; Huang L; Chen Y; Peng S; Ke Z; Li W
    BMC Med; 2021 Mar; 19(1):80. PubMed ID: 33775248
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Pan-cancer analysis for studying cancer stage using protein and gene expression data.
    Mishra S; Kaddi CD; Wang MD
    Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():2440-2443. PubMed ID: 28268818
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Deep learning identifies morphological patterns of homologous recombination deficiency in luminal breast cancers from whole slide images.
    Lazard T; Bataillon G; Naylor P; Popova T; Bidard FC; Stoppa-Lyonnet D; Stern MH; Decencière E; Walter T; Vincent-Salomon A
    Cell Rep Med; 2022 Dec; 3(12):100872. PubMed ID: 36516847
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A hybrid deep learning framework for gene regulatory network inference from single-cell transcriptomic data.
    Zhao M; He W; Tang J; Zou Q; Guo F
    Brief Bioinform; 2022 Mar; 23(2):. PubMed ID: 35062026
    [TBL] [Abstract][Full Text] [Related]  

  • 10. DeePathology: Deep Multi-Task Learning for Inferring Molecular Pathology from Cancer Transcriptome.
    Azarkhalili B; Saberi A; Chitsaz H; Sharifi-Zarchi A
    Sci Rep; 2019 Nov; 9(1):16526. PubMed ID: 31712594
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Interpretable deep learning model to predict the molecular classification of endometrial cancer from haematoxylin and eosin-stained whole-slide images: a combined analysis of the PORTEC randomised trials and clinical cohorts.
    Fremond S; Andani S; Barkey Wolf J; Dijkstra J; Melsbach S; Jobsen JJ; Brinkhuis M; Roothaan S; Jurgenliemk-Schulz I; Lutgens LCHW; Nout RA; van der Steen-Banasik EM; de Boer SM; Powell ME; Singh N; Mileshkin LR; Mackay HJ; Leary A; Nijman HW; Smit VTHBM; Creutzberg CL; Horeweg N; Koelzer VH; Bosse T
    Lancet Digit Health; 2023 Feb; 5(2):e71-e82. PubMed ID: 36496303
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Discovery of molecular features underlying the morphological landscape by integrating spatial transcriptomic data with deep features of tissue images.
    Bae S; Choi H; Lee DS
    Nucleic Acids Res; 2021 Jun; 49(10):e55. PubMed ID: 33619564
    [TBL] [Abstract][Full Text] [Related]  

  • 13. DeeP4med: deep learning for P4 medicine to predict normal and cancer transcriptome in multiple human tissues.
    Mahdi-Esferizi R; Haji Molla Hoseyni B; Mehrpanah A; Golzade Y; Najafi A; Elahian F; Zadeh Shirazi A; Gomez GA; Tahmasebian S
    BMC Bioinformatics; 2023 Jul; 24(1):275. PubMed ID: 37403016
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Unsupervised and supervised learning with neural network for human transcriptome analysis and cancer diagnosis.
    Yuan B; Yang D; Rothberg BEG; Chang H; Xu T
    Sci Rep; 2020 Nov; 10(1):19106. PubMed ID: 33154423
    [TBL] [Abstract][Full Text] [Related]  

  • 15. DeepHistReg: Unsupervised Deep Learning Registration Framework for Differently Stained Histology Samples.
    Wodzinski M; Müller H
    Comput Methods Programs Biomed; 2021 Jan; 198():105799. PubMed ID: 33137701
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Development and validation of a NanoString BASE47 bladder cancer gene classifier.
    Kardos J; Rose TL; Manocha U; Wobker SE; Damrauer JS; Bivalaqua TJ; Kates M; Moore KJ; Parker JS; Kim WY
    PLoS One; 2020; 15(12):e0243935. PubMed ID: 33332422
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Deep learning with evolutionary and genomic profiles for identifying cancer subtypes.
    Lin CY; Ruan P; Li R; Yang JM; See S; Song J; Akutsu T
    J Bioinform Comput Biol; 2019 Jun; 17(3):1940005. PubMed ID: 31288637
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Deep learning for liver tumor diagnosis part II: convolutional neural network interpretation using radiologic imaging features.
    Wang CJ; Hamm CA; Savic LJ; Ferrante M; Schobert I; Schlachter T; Lin M; Weinreb JC; Duncan JS; Chapiro J; Letzen B
    Eur Radiol; 2019 Jul; 29(7):3348-3357. PubMed ID: 31093705
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Deep learning-based cancer survival prognosis from RNA-seq data: approaches and evaluations.
    Huang Z; Johnson TS; Han Z; Helm B; Cao S; Zhang C; Salama P; Rizkalla M; Yu CY; Cheng J; Xiang S; Zhan X; Zhang J; Huang K
    BMC Med Genomics; 2020 Apr; 13(Suppl 5):41. PubMed ID: 32241264
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Opening up the blackbox: an interpretable deep neural network-based classifier for cell-type specific enhancer predictions.
    Kim SG; Theera-Ampornpunt N; Fang CH; Harwani M; Grama A; Chaterji S
    BMC Syst Biol; 2016 Aug; 10 Suppl 2(Suppl 2):54. PubMed ID: 27490187
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.