BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

162 related articles for article (PubMed ID: 35394015)

  • 21. CellMeSH: probabilistic cell-type identification using indexed literature.
    Mao S; Zhang Y; Seelig G; Kannan S
    Bioinformatics; 2022 Feb; 38(5):1393-1402. PubMed ID: 34893819
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Scalable preprocessing for sparse scRNA-seq data exploiting prior knowledge.
    Mukherjee S; Zhang Y; Fan J; Seelig G; Kannan S
    Bioinformatics; 2018 Jul; 34(13):i124-i132. PubMed ID: 29949988
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Machine learning and statistical methods for clustering single-cell RNA-sequencing data.
    Petegrosso R; Li Z; Kuang R
    Brief Bioinform; 2020 Jul; 21(4):1209-1223. PubMed ID: 31243426
    [TBL] [Abstract][Full Text] [Related]  

  • 24. CellTICS: an explainable neural network for cell-type identification and interpretation based on single-cell RNA-seq data.
    Yin Q; Chen L
    Brief Bioinform; 2023 Nov; 25(1):. PubMed ID: 38061196
    [TBL] [Abstract][Full Text] [Related]  

  • 25. scBOL: a universal cell type identification framework for single-cell and spatial transcriptomics data.
    Zhai Y; Chen L; Deng M
    Brief Bioinform; 2024 Mar; 25(3):. PubMed ID: 38678389
    [TBL] [Abstract][Full Text] [Related]  

  • 26. scDoc: correcting drop-out events in single-cell RNA-seq data.
    Ran D; Zhang S; Lytal N; An L
    Bioinformatics; 2020 Aug; 36(15):4233-4239. PubMed ID: 32365169
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Graph attention network for link prediction of gene regulations from single-cell RNA-sequencing data.
    Chen G; Liu ZP
    Bioinformatics; 2022 Sep; 38(19):4522-4529. PubMed ID: 35961023
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Random forest based similarity learning for single cell RNA sequencing data.
    Pouyan MB; Kostka D
    Bioinformatics; 2018 Jul; 34(13):i79-i88. PubMed ID: 29950006
    [TBL] [Abstract][Full Text] [Related]  

  • 29. 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]  

  • 30. SD2: spatially resolved transcriptomics deconvolution through integration of dropout and spatial information.
    Li H; Li H; Zhou J; Gao X
    Bioinformatics; 2022 Oct; 38(21):4878-4884. PubMed ID: 36063455
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Model-based branching point detection in single-cell data by K-branches clustering.
    Chlis NK; Wolf FA; Theis FJ
    Bioinformatics; 2017 Oct; 33(20):3211-3219. PubMed ID: 28582478
    [TBL] [Abstract][Full Text] [Related]  

  • 32. ACTINN: automated identification of cell types in single cell RNA sequencing.
    Ma F; Pellegrini M
    Bioinformatics; 2020 Jan; 36(2):533-538. PubMed ID: 31359028
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Falco: a quick and flexible single-cell RNA-seq processing framework on the cloud.
    Yang A; Troup M; Lin P; Ho JW
    Bioinformatics; 2017 Mar; 33(5):767-769. PubMed ID: 28025200
    [TBL] [Abstract][Full Text] [Related]  

  • 34. BASIC: BCR assembly from single cells.
    Canzar S; Neu KE; Tang Q; Wilson PC; Khan AA
    Bioinformatics; 2017 Feb; 33(3):425-427. PubMed ID: 28172415
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Gene regulation inference from single-cell RNA-seq data with linear differential equations and velocity inference.
    Aubin-Frankowski PC; Vert JP
    Bioinformatics; 2020 Sep; 36(18):4774-4780. PubMed ID: 33026066
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Spectral clustering based on learning similarity matrix.
    Park S; Zhao H
    Bioinformatics; 2018 Jun; 34(12):2069-2076. PubMed ID: 29432517
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Ultra-fast scalable estimation of single-cell differentiation potency from scRNA-Seq data.
    Teschendorff AE; Maity AK; Hu X; Weiyan C; Lechner M
    Bioinformatics; 2021 Jul; 37(11):1528-1534. PubMed ID: 33244588
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Bayesian information sharing enhances detection of regulatory associations in rare cell types.
    Wu AP; Peng J; Berger B; Cho H
    Bioinformatics; 2021 Jul; 37(Suppl_1):i349-i357. PubMed ID: 34252956
    [TBL] [Abstract][Full Text] [Related]  

  • 39. SCODE: an efficient regulatory network inference algorithm from single-cell RNA-Seq during differentiation.
    Matsumoto H; Kiryu H; Furusawa C; Ko MSH; Ko SBH; Gouda N; Hayashi T; Nikaido I
    Bioinformatics; 2017 Aug; 33(15):2314-2321. PubMed ID: 28379368
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Identify, quantify and characterize cellular communication from single-cell RNA sequencing data with scSeqComm.
    Baruzzo G; Cesaro G; Di Camillo B
    Bioinformatics; 2022 Mar; 38(7):1920-1929. PubMed ID: 35043939
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 9.