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 *

127 related articles for article (PubMed ID: 36747615)

  • 21. 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]  

  • 22. A multitask clustering approach for single-cell RNA-seq analysis in Recessive Dystrophic Epidermolysis Bullosa.
    Zhang H; Lee CAA; Li Z; Garbe JR; Eide CR; Petegrosso R; Kuang R; Tolar J
    PLoS Comput Biol; 2018 Apr; 14(4):e1006053. PubMed ID: 29630593
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Quantification and statistical modeling of droplet-based single-nucleus RNA-sequencing data.
    Kuo A; Hansen KD; Hicks SC
    Biostatistics; 2024 Jul; 25(3):801-817. PubMed ID: 37257175
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Unsupervised removal of systematic background noise from droplet-based single-cell experiments using CellBender.
    Fleming SJ; Chaffin MD; Arduini A; Akkad AD; Banks E; Marioni JC; Philippakis AA; Ellinor PT; Babadi M
    Nat Methods; 2023 Sep; 20(9):1323-1335. PubMed ID: 37550580
    [TBL] [Abstract][Full Text] [Related]  

  • 25. JOINT for large-scale single-cell RNA-sequencing analysis via soft-clustering and parallel computing.
    Cui T; Wang T
    BMC Genomics; 2021 Jan; 22(1):47. PubMed ID: 33430769
    [TBL] [Abstract][Full Text] [Related]  

  • 26. scds: computational annotation of doublets in single-cell RNA sequencing data.
    Bais AS; Kostka D
    Bioinformatics; 2020 Feb; 36(4):1150-1158. PubMed ID: 31501871
    [TBL] [Abstract][Full Text] [Related]  

  • 27. deMULTIplex2: robust sample demultiplexing for scRNA-seq.
    Zhu Q; Conrad DN; Gartner ZJ
    bioRxiv; 2023 Apr; ():. PubMed ID: 37090649
    [TBL] [Abstract][Full Text] [Related]  

  • 28. A machine learning-based method for automatically identifying novel cells in annotating single-cell RNA-seq data.
    Li Z; Wang Y; Ganan-Gomez I; Colla S; Do KA
    Bioinformatics; 2022 Oct; 38(21):4885-4892. PubMed ID: 36083008
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Pheniqs 2.0: accurate, high-performance Bayesian decoding and confidence estimation for combinatorial barcode indexing.
    Galanti L; Shasha D; Gunsalus KC
    BMC Bioinformatics; 2021 Jul; 22(1):359. PubMed ID: 34215187
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Deepbinner: Demultiplexing barcoded Oxford Nanopore reads with deep convolutional neural networks.
    Wick RR; Judd LM; Holt KE
    PLoS Comput Biol; 2018 Nov; 14(11):e1006583. PubMed ID: 30458005
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Multiplexed droplet single-cell sequencing (Mux-Seq) of normal and transplant kidney.
    Rashmi P; Sur S; Sigdel TK; Boada P; Schroeder AW; Damm I; Kretzler M; Hodgin J; Hartoularos G; Jimmie Ye C; Sarwal MM;
    Am J Transplant; 2022 Mar; 22(3):876-885. PubMed ID: 34687145
    [TBL] [Abstract][Full Text] [Related]  

  • 32. SingleCAnalyzer: Interactive Analysis of Single Cell RNA-Seq Data on the Cloud.
    Prieto C; Barrios D; Villaverde A
    Front Bioinform; 2022; 2():793309. PubMed ID: 36304292
    [TBL] [Abstract][Full Text] [Related]  

  • 33. TWO-SIGMA: A novel two-component single cell model-based association method for single-cell RNA-seq data.
    Van Buren E; Hu M; Weng C; Jin F; Li Y; Wu D; Li Y
    Genet Epidemiol; 2021 Mar; 45(2):142-153. PubMed ID: 32989764
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Vaeda computationally annotates doublets in single-cell RNA sequencing data.
    Schriever H; Kostka D
    Bioinformatics; 2023 Jan; 39(1):. PubMed ID: 36342203
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Cell Hashing with barcoded antibodies enables multiplexing and doublet detection for single cell genomics.
    Stoeckius M; Zheng S; Houck-Loomis B; Hao S; Yeung BZ; Mauck WM; Smibert P; Satija R
    Genome Biol; 2018 Dec; 19(1):224. PubMed ID: 30567574
    [TBL] [Abstract][Full Text] [Related]  

  • 36. A flexible count data model to fit the wide diversity of expression profiles arising from extensively replicated RNA-seq experiments.
    Esnaola M; Puig P; Gonzalez D; Castelo R; Gonzalez JR
    BMC Bioinformatics; 2013 Aug; 14():254. PubMed ID: 23965047
    [TBL] [Abstract][Full Text] [Related]  

  • 37. DropletQC: improved identification of empty droplets and damaged cells in single-cell RNA-seq data.
    Muskovic W; Powell JE
    Genome Biol; 2021 Dec; 22(1):329. PubMed ID: 34857027
    [TBL] [Abstract][Full Text] [Related]  

  • 38. scDetect: a rank-based ensemble learning algorithm for cell type identification of single-cell RNA sequencing in cancer.
    Shen Y; Chu Q; Timko MP; Fan L
    Bioinformatics; 2021 Nov; 37(22):4115-4122. PubMed ID: 34048541
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Enriching and Characterizing T Cell Repertoires from 3' Barcoded Single-Cell Whole Transcriptome Amplification Products.
    Jivanjee T; Ibrahim S; Nyquist SK; Gatter GJ; Bromley JD; Jaiswal S; Berger B; Behar SM; Love JC; Shalek AK
    Methods Mol Biol; 2022; 2574():159-182. PubMed ID: 36087201
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Compression of quantification uncertainty for scRNA-seq counts.
    Van Buren S; Sarkar H; Srivastava A; Rashid NU; Patro R; Love MI
    Bioinformatics; 2021 Jul; 37(12):1699-1707. PubMed ID: 33471073
    [TBL] [Abstract][Full Text] [Related]  

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