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 *

230 related articles for article (PubMed ID: 30799483)

  • 21. Emergence of Bias During the Synthesis and Amplification of cDNA for scRNA-seq.
    Luo Q; Zhang H
    Adv Exp Med Biol; 2018; 1068():149-158. PubMed ID: 29943302
    [TBL] [Abstract][Full Text] [Related]  

  • 22. UICPC: Centrality-based clustering for scRNA-seq data analysis without user input.
    Chowdhury HA; Bhattacharyya DK; Kalita JK
    Comput Biol Med; 2021 Oct; 137():104820. PubMed ID: 34508973
    [TBL] [Abstract][Full Text] [Related]  

  • 23. DIMM-SC: a Dirichlet mixture model for clustering droplet-based single cell transcriptomic data.
    Sun Z; Wang T; Deng K; Wang XF; Lafyatis R; Ding Y; Hu M; Chen W
    Bioinformatics; 2018 Jan; 34(1):139-146. PubMed ID: 29036318
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Polled Digital Cell Sorter (p-DCS): Automatic identification of hematological cell types from single cell RNA-sequencing clusters.
    Domanskyi S; Szedlak A; Hawkins NT; Wang J; Paternostro G; Piermarocchi C
    BMC Bioinformatics; 2019 Jul; 20(1):369. PubMed ID: 31262249
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Single-cell RNA-seq data semi-supervised clustering and annotation via structural regularized domain adaptation.
    Chen L; He Q; Zhai Y; Deng M
    Bioinformatics; 2021 May; 37(6):775-784. PubMed ID: 33098418
    [TBL] [Abstract][Full Text] [Related]  

  • 26. VPAC: Variational projection for accurate clustering of single-cell transcriptomic data.
    Chen S; Hua K; Cui H; Jiang R
    BMC Bioinformatics; 2019 May; 20(Suppl 7):0. PubMed ID: 31074382
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Deterministic column subset selection for single-cell RNA-Seq.
    McCurdy SR; Ntranos V; Pachter L
    PLoS One; 2019; 14(1):e0210571. PubMed ID: 30682053
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Reconstructing complex lineage trees from scRNA-seq data using MERLoT.
    Parra RG; Papadopoulos N; Ahumada-Arranz L; Kholtei JE; Mottelson N; Horokhovsky Y; Treutlein B; Soeding J
    Nucleic Acids Res; 2019 Sep; 47(17):8961-8974. PubMed ID: 31428793
    [TBL] [Abstract][Full Text] [Related]  

  • 29. A Single-Cell Sequencing Guide for Immunologists.
    See P; Lum J; Chen J; Ginhoux F
    Front Immunol; 2018; 9():2425. PubMed ID: 30405621
    [TBL] [Abstract][Full Text] [Related]  

  • 30. scSemiAE: a deep model with semi-supervised learning for single-cell transcriptomics.
    Dong J; Zhang Y; Wang F
    BMC Bioinformatics; 2022 May; 23(1):161. PubMed ID: 35513780
    [TBL] [Abstract][Full Text] [Related]  

  • 31. JingleBells: A Repository of Immune-Related Single-Cell RNA-Sequencing Datasets.
    Ner-Gaon H; Melchior A; Golan N; Ben-Haim Y; Shay T
    J Immunol; 2017 May; 198(9):3375-3379. PubMed ID: 28416714
    [TBL] [Abstract][Full Text] [Related]  

  • 32. A web server for comparative analysis of single-cell RNA-seq data.
    Alavi A; Ruffalo M; Parvangada A; Huang Z; Bar-Joseph Z
    Nat Commun; 2018 Nov; 9(1):4768. PubMed ID: 30425249
    [TBL] [Abstract][Full Text] [Related]  

  • 33. CALLR: a semi-supervised cell-type annotation method for single-cell RNA sequencing data.
    Wei Z; Zhang S
    Bioinformatics; 2021 Jul; 37(Suppl_1):i51-i58. PubMed ID: 34252936
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Genetic mapping of cell type specificity for complex traits.
    Watanabe K; Umićević Mirkov M; de Leeuw CA; van den Heuvel MP; Posthuma D
    Nat Commun; 2019 Jul; 10(1):3222. PubMed ID: 31324783
    [TBL] [Abstract][Full Text] [Related]  

  • 35. scConsensus: combining supervised and unsupervised clustering for cell type identification in single-cell RNA sequencing data.
    Ranjan B; Schmidt F; Sun W; Park J; Honardoost MA; Tan J; Arul Rayan N; Prabhakar S
    BMC Bioinformatics; 2021 Apr; 22(1):186. PubMed ID: 33845760
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Choice of pre-processing pipeline influences clustering quality of scRNA-seq datasets.
    Shainer I; Stemmer M
    BMC Genomics; 2021 Sep; 22(1):661. PubMed ID: 34521337
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Cell lineage inference from SNP and scRNA-Seq data.
    Ding J; Lin C; Bar-Joseph Z
    Nucleic Acids Res; 2019 Jun; 47(10):e56. PubMed ID: 30820578
    [TBL] [Abstract][Full Text] [Related]  

  • 38. clustifyr: an R package for automated single-cell RNA sequencing cluster classification.
    Fu R; Gillen AE; Sheridan RM; Tian C; Daya M; Hao Y; Hesselberth JR; Riemondy KA
    F1000Res; 2020; 9():223. PubMed ID: 32765839
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Detection of high variability in gene expression from single-cell RNA-seq profiling.
    Chen HI; Jin Y; Huang Y; Chen Y
    BMC Genomics; 2016 Aug; 17 Suppl 7(Suppl 7):508. PubMed ID: 27556924
    [TBL] [Abstract][Full Text] [Related]  

  • 40. bigSCale: an analytical framework for big-scale single-cell data.
    Iacono G; Mereu E; Guillaumet-Adkins A; Corominas R; Cuscó I; Rodríguez-Esteban G; Gut M; Pérez-Jurado LA; Gut I; Heyn H
    Genome Res; 2018 Jun; 28(6):878-890. PubMed ID: 29724792
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 12.