167 related articles for article (PubMed ID: 38589921)
61. AMC: accurate mutation clustering from single-cell DNA sequencing data.
Yu Z; Du F
Bioinformatics; 2022 Mar; 38(6):1732-1734. PubMed ID: 34951625
[TBL] [Abstract][Full Text] [Related]
62. HGC: fast hierarchical clustering for large-scale single-cell data.
Zou Z; Hua K; Zhang X
Bioinformatics; 2021 Nov; 37(21):3964-3965. PubMed ID: 34096998
[TBL] [Abstract][Full Text] [Related]
63. Semla: a versatile toolkit for spatially resolved transcriptomics analysis and visualization.
Larsson L; Franzén L; Ståhl PL; Lundeberg J
Bioinformatics; 2023 Oct; 39(10):. PubMed ID: 37846051
[TBL] [Abstract][Full Text] [Related]
64. Autoencoder-based cluster ensembles for single-cell RNA-seq data analysis.
Geddes TA; Kim T; Nan L; Burchfield JG; Yang JYH; Tao D; Yang P
BMC Bioinformatics; 2019 Dec; 20(Suppl 19):660. PubMed ID: 31870278
[TBL] [Abstract][Full Text] [Related]
65. scBatch: batch-effect correction of RNA-seq data through sample distance matrix adjustment.
Fei T; Yu T
Bioinformatics; 2020 May; 36(10):3115-3123. PubMed ID: 32053185
[TBL] [Abstract][Full Text] [Related]
66. HCMMCNVs: hierarchical clustering mixture model of copy number variants detection using whole exome sequencing technology.
Song C; Su SC; Huo Z; Vural S; Galvin JE; Chang LC
Bioinformatics; 2021 Sep; 37(18):3026-3028. PubMed ID: 33714997
[TBL] [Abstract][Full Text] [Related]
67. Joint learning dimension reduction and clustering of single-cell RNA-sequencing data.
Wu W; Ma X
Bioinformatics; 2020 Jun; 36(12):3825-3832. PubMed ID: 32246821
[TBL] [Abstract][Full Text] [Related]
68. RTK: efficient rarefaction analysis of large datasets.
Saary P; Forslund K; Bork P; Hildebrand F
Bioinformatics; 2017 Aug; 33(16):2594-2595. PubMed ID: 28398468
[TBL] [Abstract][Full Text] [Related]
69. CYBERTRACK2.0: zero-inflated model-based cell clustering and population tracking method for longitudinal mass cytometry data.
Minoura K; Abe K; Maeda Y; Nishikawa H; Shimamura T
Bioinformatics; 2021 Jul; 37(11):1632-1634. PubMed ID: 33051653
[TBL] [Abstract][Full Text] [Related]
70. SAILER: scalable and accurate invariant representation learning for single-cell ATAC-seq processing and integration.
Cao Y; Fu L; Wu J; Peng Q; Nie Q; Zhang J; Xie X
Bioinformatics; 2021 Jul; 37(Suppl_1):i317-i326. PubMed ID: 34252968
[TBL] [Abstract][Full Text] [Related]
71. pyaging: a Python-based compendium of GPU-optimized aging clocks.
de Lima Camillo LP
Bioinformatics; 2024 Mar; 40(4):. PubMed ID: 38603598
[TBL] [Abstract][Full Text] [Related]
72. STACAS: Sub-Type Anchor Correction for Alignment in Seurat to integrate single-cell RNA-seq data.
Andreatta M; Carmona SJ
Bioinformatics; 2021 May; 37(6):882-884. PubMed ID: 32845323
[TBL] [Abstract][Full Text] [Related]
73. Palo: spatially aware color palette optimization for single-cell and spatial data.
Hou W; Ji Z
Bioinformatics; 2022 Jul; 38(14):3654-3656. PubMed ID: 35642896
[TBL] [Abstract][Full Text] [Related]
74. GdClean: removal of Gadolinium contamination in mass cytometry data.
Liu J; Liu L; Qu S; Zhang T; Wang D; Ji Q; Wang T; Shi H; Song K; Fang W; Chen W; Yin W
Bioinformatics; 2021 Dec; 37(24):4787-4792. PubMed ID: 34320625
[TBL] [Abstract][Full Text] [Related]
75. Determination of essential phenotypic elements of clusters in high-dimensional entities-DEPECHE.
Theorell A; Bryceson YT; Theorell J
PLoS One; 2019; 14(3):e0203247. PubMed ID: 30845234
[TBL] [Abstract][Full Text] [Related]
76. Transfer learning for clustering single-cell RNA-seq data crossing-species and batch, case on uterine fibroids.
Wang YM; Sun Y; Wang B; Wu Z; He XY; Zhao Y
Brief Bioinform; 2023 Nov; 25(1):. PubMed ID: 37991248
[TBL] [Abstract][Full Text] [Related]
77. scPathoQuant: a tool for efficient alignment and quantification of pathogen sequence reads from 10× single cell sequencing datasets.
Whitmore LS; Tisoncik-Go J; Gale M
Bioinformatics; 2024 Mar; 40(4):. PubMed ID: 38478395
[TBL] [Abstract][Full Text] [Related]
78. 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]
79. SIMLR: A Tool for Large-Scale Genomic Analyses by Multi-Kernel Learning.
Wang B; Ramazzotti D; De Sano L; Zhu J; Pierson E; Batzoglou S
Proteomics; 2018 Jan; 18(2):. PubMed ID: 29265724
[TBL] [Abstract][Full Text] [Related]
80. A computational approach for phenotypic comparisons of cell populations in high-dimensional cytometry data.
Platon L; Pejoski D; Gautreau G; Targat B; Le Grand R; Beignon AS; Tchitchek N
Methods; 2018 Jan; 132():66-75. PubMed ID: 28917725
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
