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 *

136 related articles for article (PubMed ID: 34143749)

  • 21. Mining sequential patterns for protein fold recognition.
    Exarchos TP; Papaloukas C; Lampros C; Fotiadis DI
    J Biomed Inform; 2008 Feb; 41(1):165-79. PubMed ID: 17573243
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Apriori Versions Based on MapReduce for Mining Frequent Patterns on Big Data.
    Maria Luna J; Padillo F; Pechenizkiy M; Ventura S
    IEEE Trans Cybern; 2018 Oct; 48(10):2851-2865. PubMed ID: 28961134
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Protein classification using sequential pattern mining.
    Exarchos TP; Papaloukas C; Lampros C; Fotiadis DI
    Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():5814-7. PubMed ID: 17945916
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Application of gap-constraints given sequential frequent pattern mining for protein function prediction.
    Park HA; Kim T; Li M; Shon HS; Park JS; Ryu KH
    Osong Public Health Res Perspect; 2015 Apr; 6(2):112-20. PubMed ID: 25938021
    [TBL] [Abstract][Full Text] [Related]  

  • 25. DPClass: An Effective but Concise Discriminative Patterns-Based Classification Framework.
    Shang J; Tong W; Peng J; Han J
    Proc SIAM Int Conf Data Min; 2016 May; 2016():567-575. PubMed ID: 28163983
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Mining of high utility-probability sequential patterns from uncertain databases.
    Zhang B; Lin JC; Fournier-Viger P; Li T
    PLoS One; 2017; 12(7):e0180931. PubMed ID: 28742847
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Mining high occupancy patterns to analyze incremental data in intelligent systems.
    Kim H; Ryu T; Lee C; Kim H; Truong T; Fournier-Viger P; Pedrycz W; Yun U
    ISA Trans; 2022 Dec; 131():460-475. PubMed ID: 35636986
    [TBL] [Abstract][Full Text] [Related]  

  • 28. A Comparative Study of Frequent Pattern Mining with Trajectory Data.
    Ding S; Li Z; Zhang K; Mao F
    Sensors (Basel); 2022 Oct; 22(19):. PubMed ID: 36236703
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Tree-based approach for exploring marine spatial patterns with raster datasets.
    Liao X; Xue C; Su F
    PLoS One; 2017; 12(5):e0177438. PubMed ID: 28510602
    [TBL] [Abstract][Full Text] [Related]  

  • 30. T-Patterns revisited: mining for temporal patterns in sensor data.
    Salah AA; Pauwels E; Tavenard R; Gevers T
    Sensors (Basel); 2010; 10(8):7496-513. PubMed ID: 22163613
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Status Set Sequential Pattern Mining Considering Time Windows and Periodic Analysis of Patterns.
    Zhou S; Liu H; Chen B; Hou W; Ji X; Zhang Y; Chang W; Xiao Y
    Entropy (Basel); 2021 Jun; 23(6):. PubMed ID: 34208012
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Network-based visualisation of frequent sequences.
    Bántay L; Abonyi J
    PLoS One; 2024; 19(5):e0301262. PubMed ID: 38722864
    [TBL] [Abstract][Full Text] [Related]  

  • 33. A gene pattern mining algorithm using interchangeable gene sets for prokaryotes.
    Hu M; Choi K; Su W; Kim S; Yang J
    BMC Bioinformatics; 2008 Feb; 9():124. PubMed ID: 18302784
    [TBL] [Abstract][Full Text] [Related]  

  • 34. An efficient pattern growth approach for mining fault tolerant frequent itemsets.
    Bashir S
    Expert Syst Appl; 2020 Apr; 143():113046. PubMed ID: 32288329
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Improved adaptive-phase fuzzy high utility pattern mining algorithm based on tree-list structure for intelligent decision systems.
    Chen J; Liu A; Zhang H; Yang S; Zheng H; Zhou N; Li P
    Sci Rep; 2024 Jan; 14(1):945. PubMed ID: 38200028
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Hybrid Recommender System for Mental Illness Detection in Social Media Using Deep Learning Techniques.
    Ahmad SS; Rani R; Wattar I; Sharma M; Sharma S; Nair R; Tiwari B
    Comput Intell Neurosci; 2023; 2023():8110588. PubMed ID: 37455768
    [TBL] [Abstract][Full Text] [Related]  

  • 37. SPM4GAC: SPM based approach for genome analysis and classification of macromolecules.
    Nawaz MS; Fournier-Viger P; Nawaz S; Zhu H; Yun U
    Int J Biol Macromol; 2024 May; 266(Pt 2):130984. PubMed ID: 38513910
    [TBL] [Abstract][Full Text] [Related]  

  • 38. An efficient method for mining cross-timepoint gene regulation sequential patterns from time course gene expression datasets.
    Cheng CP; Liu YC; Tsai YL; Tseng VS
    BMC Bioinformatics; 2013; 14 Suppl 12(Suppl 12):S3. PubMed ID: 24267918
    [TBL] [Abstract][Full Text] [Related]  

  • 39. FraudMiner: a novel credit card fraud detection model based on frequent itemset mining.
    Seeja KR; Zareapoor M
    ScientificWorldJournal; 2014; 2014():252797. PubMed ID: 25302317
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Using the Diagnostic Odds Ratio to Select Patterns to Build an Interpretable Pattern-Based Classifier in a Clinical Domain: Multivariate Sequential Pattern Mining Study.
    Casanova IJ; Campos M; Juarez JM; Gomariz A; Lorente-Ros M; Lorente JA
    JMIR Med Inform; 2022 Aug; 10(8):e32319. PubMed ID: 35947437
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 7.