165 related articles for article (PubMed ID: 36998720)
1. EasyCellType: marker-based cell-type annotation by automatically querying multiple databases.
Li R; Zhang J; Li Z
Bioinform Adv; 2023; 3(1):vbad029. PubMed ID: 36998720
[TBL] [Abstract][Full Text] [Related]
2. Differential gene expression analysis for multi-subject single-cell RNA-sequencing studies with aggregateBioVar.
Thurman AL; Ratcliff JA; Chimenti MS; Pezzulo AA
Bioinformatics; 2021 Oct; 37(19):3243-3251. PubMed ID: 33970215
[TBL] [Abstract][Full Text] [Related]
3. NeuCA web server: a neural network-based cell annotation tool with web-app and GUI.
Duan D; He S; Huang E; Li Z; Feng H
Bioinformatics; 2022 Apr; 38(8):2361-2363. PubMed ID: 35176143
[TBL] [Abstract][Full Text] [Related]
4. metagenomeFeatures: an R package for working with 16S rRNA reference databases and marker-gene survey feature data.
Olson ND; Shah N; Kancherla J; Wagner J; Paulson JN; Corrada Bravo H
Bioinformatics; 2019 Oct; 35(19):3870-3872. PubMed ID: 30821316
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. GDCRNATools: an R/Bioconductor package for integrative analysis of lncRNA, miRNA and mRNA data in GDC.
Li R; Qu H; Wang S; Wei J; Zhang L; Ma R; Lu J; Zhu J; Zhong WD; Jia Z
Bioinformatics; 2018 Jul; 34(14):2515-2517. PubMed ID: 29509844
[TBL] [Abstract][Full Text] [Related]
7. A neural network-based method for exhaustive cell label assignment using single cell RNA-seq data.
Li Z; Feng H
Sci Rep; 2022 Jan; 12(1):910. PubMed ID: 35042860
[TBL] [Abstract][Full Text] [Related]
8. bayNorm: Bayesian gene expression recovery, imputation and normalization for single-cell RNA-sequencing data.
Tang W; Bertaux F; Thomas P; Stefanelli C; Saint M; Marguerat S; Shahrezaei V
Bioinformatics; 2020 Feb; 36(4):1174-1181. PubMed ID: 31584606
[TBL] [Abstract][Full Text] [Related]
9. scAnnotate: an automated cell-type annotation tool for single-cell RNA-sequencing data.
Ji X; Tsao D; Bai K; Tsao M; Xing L; Zhang X
Bioinform Adv; 2023; 3(1):vbad030. PubMed ID: 36949780
[TBL] [Abstract][Full Text] [Related]
10. Metapone: a Bioconductor package for joint pathway testing for untargeted metabolomics data.
Tian L; Li Z; Ma G; Zhang X; Tang Z; Wang S; Kang J; Liang D; Yu T
Bioinformatics; 2022 Jul; 38(14):3662-3664. PubMed ID: 35639952
[TBL] [Abstract][Full Text] [Related]
11. methylGSA: a Bioconductor package and Shiny app for DNA methylation data length bias adjustment in gene set testing.
Ren X; Kuan PF
Bioinformatics; 2019 Jun; 35(11):1958-1959. PubMed ID: 30346483
[TBL] [Abstract][Full Text] [Related]
12. Regulatory annotation of genomic intervals based on tissue-specific expression QTLs.
Xu T; Jin P; Qin ZS
Bioinformatics; 2020 Feb; 36(3):690-697. PubMed ID: 31504167
[TBL] [Abstract][Full Text] [Related]
13. TFEA.ChIP: a tool kit for transcription factor binding site enrichment analysis capitalizing on ChIP-seq datasets.
Puente-Santamaria L; Wasserman WW; Del Peso L
Bioinformatics; 2019 Dec; 35(24):5339-5340. PubMed ID: 31347689
[TBL] [Abstract][Full Text] [Related]
14. DNAshapeR: an R/Bioconductor package for DNA shape prediction and feature encoding.
Chiu TP; Comoglio F; Zhou T; Yang L; Paro R; Rohs R
Bioinformatics; 2016 Apr; 32(8):1211-3. PubMed ID: 26668005
[TBL] [Abstract][Full Text] [Related]
15. FindIT2: an R/Bioconductor package to identify influential transcription factor and targets based on multi-omics data.
Shang GD; Xu ZG; Wan MC; Wang FX; Wang JW
BMC Genomics; 2022 Apr; 23(Suppl 1):272. PubMed ID: 35392802
[TBL] [Abstract][Full Text] [Related]
16. Combining dependent P-values with an empirical adaptation of Brown's method.
Poole W; Gibbs DL; Shmulevich I; Bernard B; Knijnenburg TA
Bioinformatics; 2016 Sep; 32(17):i430-i436. PubMed ID: 27587659
[TBL] [Abstract][Full Text] [Related]
17. cytomapper: an R/Bioconductor package for visualization of highly multiplexed imaging data.
Eling N; Damond N; Hoch T; Bodenmiller B
Bioinformatics; 2021 Apr; 36(24):5706-5708. PubMed ID: 33367748
[TBL] [Abstract][Full Text] [Related]
18. RankProd 2.0: a refactored bioconductor package for detecting differentially expressed features in molecular profiling datasets.
Del Carratore F; Jankevics A; Eisinga R; Heskes T; Hong F; Breitling R
Bioinformatics; 2017 Sep; 33(17):2774-2775. PubMed ID: 28481966
[TBL] [Abstract][Full Text] [Related]
19. V-SVA: an R Shiny application for detecting and annotating hidden sources of variation in single-cell RNA-seq data.
Lawlor N; Marquez EJ; Lee D; Ucar D
Bioinformatics; 2020 Jun; 36(11):3582-3584. PubMed ID: 32119082
[TBL] [Abstract][Full Text] [Related]
20. Complex heatmaps reveal patterns and correlations in multidimensional genomic data.
Gu Z; Eils R; Schlesner M
Bioinformatics; 2016 Sep; 32(18):2847-9. PubMed ID: 27207943
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]