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 *

156 related articles for article (PubMed ID: 33164053)

  • 1. DeepSSV: detecting somatic small variants in paired tumor and normal sequencing data with convolutional neural network.
    Meng J; Victor B; He Z; Liu H; Jiang T
    Brief Bioinform; 2021 Jul; 22(4):. PubMed ID: 33164053
    [TBL] [Abstract][Full Text] [Related]  

  • 2. DNN-Boost: Somatic mutation identification of tumor-only whole-exome sequencing data using deep neural network and XGBoost.
    Maruf FA; Pratama R; Song G
    J Bioinform Comput Biol; 2021 Dec; 19(6):2140017. PubMed ID: 34895111
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Deep convolutional neural networks for accurate somatic mutation detection.
    Sahraeian SME; Liu R; Lau B; Podesta K; Mohiyuddin M; Lam HYK
    Nat Commun; 2019 Mar; 10(1):1041. PubMed ID: 30833567
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Integrated approach to generate artificial samples with low tumor fraction for somatic variant calling benchmarking.
    Sergi A; Beltrame L; Marchini S; Masseroli M
    BMC Bioinformatics; 2024 May; 25(1):180. PubMed ID: 38720249
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A universal SNP and small-indel variant caller using deep neural networks.
    Poplin R; Chang PC; Alexander D; Schwartz S; Colthurst T; Ku A; Newburger D; Dijamco J; Nguyen N; Afshar PT; Gross SS; Dorfman L; McLean CY; DePristo MA
    Nat Biotechnol; 2018 Nov; 36(10):983-987. PubMed ID: 30247488
    [TBL] [Abstract][Full Text] [Related]  

  • 6. SNooPer: a machine learning-based method for somatic variant identification from low-pass next-generation sequencing.
    Spinella JF; Mehanna P; Vidal R; Saillour V; Cassart P; Richer C; Ouimet M; Healy J; Sinnett D
    BMC Genomics; 2016 Nov; 17(1):912. PubMed ID: 27842494
    [TBL] [Abstract][Full Text] [Related]  

  • 7. DeepSom: a CNN-based approach to somatic variant calling in WGS samples without a matched normal.
    Vilov S; Heinig M
    Bioinformatics; 2023 Jan; 39(1):. PubMed ID: 36637201
    [TBL] [Abstract][Full Text] [Related]  

  • 8. cnnLSV: detecting structural variants by encoding long-read alignment information and convolutional neural network.
    Ma H; Zhong C; Chen D; He H; Yang F
    BMC Bioinformatics; 2023 Mar; 24(1):119. PubMed ID: 36977976
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A database of simulated tumor genomes towards accurate detection of somatic small variants in cancer.
    Meng J; Chen YP
    PLoS One; 2018; 13(8):e0202982. PubMed ID: 30161165
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Evaluation of Nine Somatic Variant Callers for Detection of Somatic Mutations in Exome and Targeted Deep Sequencing Data.
    Krøigård AB; Thomassen M; Lænkholm AV; Kruse TA; Larsen MJ
    PLoS One; 2016; 11(3):e0151664. PubMed ID: 27002637
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Evaluating somatic tumor mutation detection without matched normal samples.
    Teer JK; Zhang Y; Chen L; Welsh EA; Cress WD; Eschrich SA; Berglund AE
    Hum Genomics; 2017 Sep; 11(1):22. PubMed ID: 28870239
    [TBL] [Abstract][Full Text] [Related]  

  • 12. An Individualized Approach for Somatic Variant Discovery.
    Li M; He T; Cao C; Long Q
    Methods Mol Biol; 2020; 2120():11-36. PubMed ID: 32124309
    [TBL] [Abstract][Full Text] [Related]  

  • 13. GASOLINE: detecting germline and somatic structural variants from long-reads data.
    Magi A; Mattei G; Mingrino A; Caprioli C; Ronchini C; Frigè G; Semeraro R; Baragli M; Bolognini D; Colombo E; Mazzarella L; Pelicci PG
    Sci Rep; 2023 Nov; 13(1):20817. PubMed ID: 38012350
    [TBL] [Abstract][Full Text] [Related]  

  • 14. DeepSV: accurate calling of genomic deletions from high-throughput sequencing data using deep convolutional neural network.
    Cai L; Wu Y; Gao J
    BMC Bioinformatics; 2019 Dec; 20(1):665. PubMed ID: 31830921
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Achieving robust somatic mutation detection with deep learning models derived from reference data sets of a cancer sample.
    Sahraeian SME; Fang LT; Karagiannis K; Moos M; Smith S; Santana-Quintero L; Xiao C; Colgan M; Hong H; Mohiyuddin M; Xiao W
    Genome Biol; 2022 Jan; 23(1):12. PubMed ID: 34996510
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A deep dive into understanding tumor foci classification using multiparametric MRI based on convolutional neural network.
    Zong W; Lee JK; Liu C; Carver EN; Feldman AM; Janic B; Elshaikh MA; Pantelic MV; Hearshen D; Chetty IJ; Movsas B; Wen N
    Med Phys; 2020 Sep; 47(9):4077-4086. PubMed ID: 32449176
    [TBL] [Abstract][Full Text] [Related]  

  • 17. SVEngine: an efficient and versatile simulator of genome structural variations with features of cancer clonal evolution.
    Xia LC; Ai D; Lee H; Andor N; Li C; Zhang NR; Ji HP
    Gigascience; 2018 Jul; 7(7):. PubMed ID: 29982625
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Lean and deep models for more accurate filtering of SNP and INDEL variant calls.
    Friedman S; Gauthier L; Farjoun Y; Banks E
    Bioinformatics; 2020 Apr; 36(7):2060-2067. PubMed ID: 31830260
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Improving somatic exome sequencing performance by biological replicates.
    Cebeci YE; Erturk RA; Ergun MA; Baysan M
    BMC Bioinformatics; 2024 Mar; 25(1):124. PubMed ID: 38519906
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Validation of genetic variants from NGS data using deep convolutional neural networks.
    Vaisband M; Schubert M; Gassner FJ; Geisberger R; Greil R; Zaborsky N; Hasenauer J
    BMC Bioinformatics; 2023 Apr; 24(1):158. PubMed ID: 37081386
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.