312 related articles for article (PubMed ID: 32353146)
41. MOJITOO: a fast and universal method for integration of multimodal single-cell data.
Cheng M; Li Z; Costa IG
Bioinformatics; 2022 Jun; 38(Suppl 1):i282-i289. PubMed ID: 35758807
[TBL] [Abstract][Full Text] [Related]
42. scGate: marker-based purification of cell types from heterogeneous single-cell RNA-seq datasets.
Andreatta M; Berenstein AJ; Carmona SJ
Bioinformatics; 2022 Apr; 38(9):2642-2644. PubMed ID: 35258562
[TBL] [Abstract][Full Text] [Related]
43. Non-negative Independent Factor Analysis disentangles discrete and continuous sources of variation in scRNA-seq data.
Mao W; Pouyan MB; Kostka D; Chikina M
Bioinformatics; 2022 May; 38(10):2749-2756. PubMed ID: 35561207
[TBL] [Abstract][Full Text] [Related]
44. Polyester: simulating RNA-seq datasets with differential transcript expression.
Frazee AC; Jaffe AE; Langmead B; Leek JT
Bioinformatics; 2015 Sep; 31(17):2778-84. PubMed ID: 25926345
[TBL] [Abstract][Full Text] [Related]
45. SCHNAPPs - Single Cell sHiNy APPlication(s).
Jagla B; Libri V; Chica C; Rouilly V; Mella S; Puceat M; Hasan M
J Immunol Methods; 2021 Dec; 499():113176. PubMed ID: 34742775
[TBL] [Abstract][Full Text] [Related]
46. CONICS integrates scRNA-seq with DNA sequencing to map gene expression to tumor sub-clones.
Müller S; Cho A; Liu SJ; Lim DA; Diaz A
Bioinformatics; 2018 Sep; 34(18):3217-3219. PubMed ID: 29897414
[TBL] [Abstract][Full Text] [Related]
47. ZIAQ: a quantile regression method for differential expression analysis of single-cell RNA-seq data.
Zhang W; Wei Y; Zhang D; Xu EY
Bioinformatics; 2020 May; 36(10):3124-3130. PubMed ID: 32053182
[TBL] [Abstract][Full Text] [Related]
48. The RNASeq-er API-a gateway to systematically updated analysis of public RNA-seq data.
Petryszak R; Fonseca NA; Füllgrabe A; Huerta L; Keays M; Tang YA; Brazma A
Bioinformatics; 2017 Jul; 33(14):2218-2220. PubMed ID: 28369191
[TBL] [Abstract][Full Text] [Related]
49. Simulation, power evaluation and sample size recommendation for single-cell RNA-seq.
Su K; Wu Z; Wu H
Bioinformatics; 2020 Dec; 36(19):4860-4868. PubMed ID: 32614380
[TBL] [Abstract][Full Text] [Related]
50. APAtrap: identification and quantification of alternative polyadenylation sites from RNA-seq data.
Ye C; Long Y; Ji G; Li QQ; Wu X
Bioinformatics; 2018 Jun; 34(11):1841-1849. PubMed ID: 29360928
[TBL] [Abstract][Full Text] [Related]
51. 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]
52. Single-Cell Antibody Sequencing in Atherosclerosis Research.
Saigusa R; Durant CP; Suryawanshi V; Ley K
Methods Mol Biol; 2022; 2419():765-778. PubMed ID: 35238000
[TBL] [Abstract][Full Text] [Related]
53. OEFinder: a user interface to identify and visualize ordering effects in single-cell RNA-seq data.
Leng N; Choi J; Chu LF; Thomson JA; Kendziorski C; Stewart R
Bioinformatics; 2016 May; 32(9):1408-10. PubMed ID: 26743507
[TBL] [Abstract][Full Text] [Related]
54. doubletD: detecting doublets in single-cell DNA sequencing data.
Weber LL; Sashittal P; El-Kebir M
Bioinformatics; 2021 Jul; 37(Suppl_1):i214-i221. PubMed ID: 34252961
[TBL] [Abstract][Full Text] [Related]
55. Tissue-specific deconvolution of immune cell composition by integrating bulk and single-cell transcriptomes.
Chen Z; Ji C; Shen Q; Liu W; Qin FX; Wu A
Bioinformatics; 2020 Feb; 36(3):819-827. PubMed ID: 31504185
[TBL] [Abstract][Full Text] [Related]
56. 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]
57. SCell: integrated analysis of single-cell RNA-seq data.
Diaz A; Liu SJ; Sandoval C; Pollen A; Nowakowski TJ; Lim DA; Kriegstein A
Bioinformatics; 2016 Jul; 32(14):2219-20. PubMed ID: 27153637
[TBL] [Abstract][Full Text] [Related]
58. Powerful differential expression analysis incorporating network topology for next-generation sequencing data.
Dona MSI; Prendergast LA; Mathivanan S; Keerthikumar S; Salim A
Bioinformatics; 2017 May; 33(10):1505-1513. PubMed ID: 28172447
[TBL] [Abstract][Full Text] [Related]
59. CrossTalkeR: analysis and visualization of ligand-receptorne tworks.
Nagai JS; Leimkühler NB; Schaub MT; Schneider RK; Costa IG
Bioinformatics; 2021 Nov; 37(22):4263-4265. PubMed ID: 35032393
[TBL] [Abstract][Full Text] [Related]
60. IntAPT: integrated assembly of phenotype-specific transcripts from multiple RNA-seq profiles.
Shi X; Neuwald AF; Wang X; Wang TL; Hilakivi-Clarke L; Clarke R; Xuan J
Bioinformatics; 2021 May; 37(5):650-658. PubMed ID: 33016988
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
