BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

153 related articles for article (PubMed ID: 35584271)

  • 1. Locality-Sensitive Hashing-Based k-Mer Clustering for Identification of Differential Microbial Markers Related to Host Phenotype.
    Han W; Tang H; Ye Y
    J Comput Biol; 2022 Jul; 29(7):738-751. PubMed ID: 35584271
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A concurrent subtractive assembly approach for identification of disease associated sub-metagenomes.
    Han W; Wang M; Ye Y
    Res Comput Mol Biol; 2017; 2017():18-33. PubMed ID: 29177251
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A repository of microbial marker genes related to human health and diseases for host phenotype prediction using microbiome data.
    Han W; Ye Y
    Pac Symp Biocomput; 2019; 24():236-247. PubMed ID: 30864326
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Phenotype Prediction from Metagenomic Data Using Clustering and Assembly with Multiple Instance Learning (CAMIL).
    Rahman MA; LaPierre N; Rangwala H
    IEEE/ACM Trans Comput Biol Bioinform; 2020; 17(3):828-840. PubMed ID: 28981422
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Assessment of k-mer spectrum applicability for metagenomic dissimilarity analysis.
    Dubinkina VB; Ischenko DS; Ulyantsev VI; Tyakht AV; Alexeev DG
    BMC Bioinformatics; 2016 Jan; 17():38. PubMed ID: 26774270
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Subtractive assembly for comparative metagenomics, and its application to type 2 diabetes metagenomes.
    Wang M; Doak TG; Ye Y
    Genome Biol; 2015 Nov; 16():243. PubMed ID: 26527161
    [TBL] [Abstract][Full Text] [Related]  

  • 7. CONSULT-II: accurate taxonomic identification and profiling using locality-sensitive hashing.
    Şapcı AOB; Rachtman E; Mirarab S
    Bioinformatics; 2024 Mar; 40(4):. PubMed ID: 38492564
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 16S rRNA metagenome clustering and diversity estimation using locality sensitive hashing.
    Rasheed Z; Rangwala H; Barbará D
    BMC Syst Biol; 2013; 7 Suppl 4(Suppl 4):S11. PubMed ID: 24565031
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Application of machine learning techniques for creating urban microbial fingerprints.
    Ryan FJ
    Biol Direct; 2019 Aug; 14(1):13. PubMed ID: 31420049
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Intestinal microbiota domination under extreme selective pressures characterized by metagenomic read cloud sequencing and assembly.
    Kang JB; Siranosian BA; Moss EL; Banaei N; Andermann TM; Bhatt AS
    BMC Bioinformatics; 2019 Dec; 20(Suppl 16):585. PubMed ID: 31787070
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Gene-based microbiome representation enhances host phenotype classification.
    Deschênes T; Tohoundjona FWE; Plante PL; Di Marzo V; Raymond F
    mSystems; 2023 Aug; 8(4):e0053123. PubMed ID: 37404032
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A scalable assembly-free variable selection algorithm for biomarker discovery from metagenomes.
    Gkanogiannis A; Gazut S; Salanoubat M; Kanj S; Brüls T
    BMC Bioinformatics; 2016 Aug; 17(1):311. PubMed ID: 27542753
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Shared Nearest Neighbor Clustering in a Locality Sensitive Hashing Framework.
    Kanj S; Brüls T; Gazut S
    J Comput Biol; 2018 Feb; 25(2):236-250. PubMed ID: 28953425
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Estimating the total genome length of a metagenomic sample using k-mers.
    Hua K; Zhang X
    BMC Genomics; 2019 Apr; 20(Suppl 2):183. PubMed ID: 30967110
    [TBL] [Abstract][Full Text] [Related]  

  • 15. MetaCon: unsupervised clustering of metagenomic contigs with probabilistic k-mers statistics and coverage.
    Qian J; Comin M
    BMC Bioinformatics; 2019 Nov; 20(Suppl 9):367. PubMed ID: 31757198
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Quality control of microbiota metagenomics by k-mer analysis.
    Plaza Onate F; Batto JM; Juste C; Fadlallah J; Fougeroux C; Gouas D; Pons N; Kennedy S; Levenez F; Dore J; Ehrlich SD; Gorochov G; Larsen M
    BMC Genomics; 2015 Mar; 16(1):183. PubMed ID: 25887914
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Machine Learning Meta-analysis of Large Metagenomic Datasets: Tools and Biological Insights.
    Pasolli E; Truong DT; Malik F; Waldron L; Segata N
    PLoS Comput Biol; 2016 Jul; 12(7):e1004977. PubMed ID: 27400279
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Metagenomic assembly through the lens of validation: recent advances in assessing and improving the quality of genomes assembled from metagenomes.
    Olson ND; Treangen TJ; Hill CM; Cepeda-Espinoza V; Ghurye J; Koren S; Pop M
    Brief Bioinform; 2019 Jul; 20(4):1140-1150. PubMed ID: 28968737
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Locality-sensitive hashing for the edit distance.
    Marçais G; DeBlasio D; Pandey P; Kingsford C
    Bioinformatics; 2019 Jul; 35(14):i127-i135. PubMed ID: 31510667
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Human reference gut microbiome catalog including newly assembled genomes from under-represented Asian metagenomes.
    Kim CY; Lee M; Yang S; Kim K; Yong D; Kim HR; Lee I
    Genome Med; 2021 Aug; 13(1):134. PubMed ID: 34446072
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.