406 related articles for article (PubMed ID: 33835450)
1. Normalization of Single-Cell RNA-Seq Data.
Risso D
Methods Mol Biol; 2021; 2284():303-329. PubMed ID: 33835450
[TBL] [Abstract][Full Text] [Related]
2. A Zipf-plot based normalization method for high-throughput RNA-seq data.
Wang B
PLoS One; 2020; 15(4):e0230594. PubMed ID: 32271772
[TBL] [Abstract][Full Text] [Related]
3. Computational Analysis of Single-Cell RNA-Seq Data.
Alessandrì L; Cordero F; Beccuti M; Arigoni M; Calogero RA
Methods Mol Biol; 2021; 2284():289-301. PubMed ID: 33835449
[TBL] [Abstract][Full Text] [Related]
4. Best practices on the differential expression analysis of multi-species RNA-seq.
Chung M; Bruno VM; Rasko DA; Cuomo CA; Muñoz JF; Livny J; Shetty AC; Mahurkar A; Dunning Hotopp JC
Genome Biol; 2021 Apr; 22(1):121. PubMed ID: 33926528
[TBL] [Abstract][Full Text] [Related]
5. SCnorm: robust normalization of single-cell RNA-seq data.
Bacher R; Chu LF; Leng N; Gasch AP; Thomson JA; Stewart RM; Newton M; Kendziorski C
Nat Methods; 2017 Jun; 14(6):584-586. PubMed ID: 28418000
[TBL] [Abstract][Full Text] [Related]
6. Data normalization for addressing the challenges in the analysis of single-cell transcriptomic datasets.
Cuevas-Diaz Duran R; Wei H; Wu J
BMC Genomics; 2024 May; 25(1):444. PubMed ID: 38711017
[TBL] [Abstract][Full Text] [Related]
7. Using RNentropy to Detect Significant Variation in Gene Expression Across Multiple RNA-Seq or Single-Cell RNA-Seq Samples.
Zambelli F; Pavesi G
Methods Mol Biol; 2021; 2284():77-96. PubMed ID: 33835439
[TBL] [Abstract][Full Text] [Related]
8. RNA-Seq Data Analysis in Galaxy.
Batut B; van den Beek M; Doyle MA; Soranzo N
Methods Mol Biol; 2021; 2284():367-392. PubMed ID: 33835453
[TBL] [Abstract][Full Text] [Related]
9. Normalizing single-cell RNA sequencing data: challenges and opportunities.
Vallejos CA; Risso D; Scialdone A; Dudoit S; Marioni JC
Nat Methods; 2017 Jun; 14(6):565-571. PubMed ID: 28504683
[TBL] [Abstract][Full Text] [Related]
10. Enhancing biological signals and detection rates in single-cell RNA-seq experiments with cDNA library equalization.
Bacher R; Chu LF; Argus C; Bolin JM; Knight P; Thomson JA; Stewart R; Kendziorski C
Nucleic Acids Res; 2022 Jan; 50(2):e12. PubMed ID: 34850101
[TBL] [Abstract][Full Text] [Related]
11. Nanopore RNA Sequencing Analysis.
Leonardi T; Leger A
Methods Mol Biol; 2021; 2284():569-578. PubMed ID: 33835464
[TBL] [Abstract][Full Text] [Related]
12. Comparative Methods for Demystifying Spatial Transcriptomics.
Sammeth M; Mudra S; Bialdiga S; Hartmannsberger B; Kramer S; Rittner H
Methods Mol Biol; 2024; 2802():515-546. PubMed ID: 38819570
[TBL] [Abstract][Full Text] [Related]
13. Normalization for Single-Cell RNA-Seq Data Analysis.
Bacher R
Methods Mol Biol; 2019; 1935():11-23. PubMed ID: 30758817
[TBL] [Abstract][Full Text] [Related]
14. Bias, robustness and scalability in single-cell differential expression analysis.
Soneson C; Robinson MD
Nat Methods; 2018 Apr; 15(4):255-261. PubMed ID: 29481549
[TBL] [Abstract][Full Text] [Related]
15. Short-Read RNA-Seq.
Hu R; Islam MN; Varghese RS; Ressom HW
Methods Mol Biol; 2024; 2822():245-262. PubMed ID: 38907923
[TBL] [Abstract][Full Text] [Related]
16. Differential Expression Analysis of RNA-seq Reads: Overview, Taxonomy, and Tools.
Chowdhury HA; Bhattacharyya DK; Kalita JK
IEEE/ACM Trans Comput Biol Bioinform; 2020; 17(2):566-586. PubMed ID: 30281477
[TBL] [Abstract][Full Text] [Related]
17. Pooling across cells to normalize single-cell RNA sequencing data with many zero counts.
Lun AT; Bach K; Marioni JC
Genome Biol; 2016 Apr; 17():75. PubMed ID: 27122128
[TBL] [Abstract][Full Text] [Related]
18. The Impact of Normalization Methods on RNA-Seq Data Analysis.
Zyprych-Walczak J; Szabelska A; Handschuh L; Górczak K; Klamecka K; Figlerowicz M; Siatkowski I
Biomed Res Int; 2015; 2015():621690. PubMed ID: 26176014
[TBL] [Abstract][Full Text] [Related]
19. Data Analysis in Single-Cell Transcriptome Sequencing.
Gao S
Methods Mol Biol; 2018; 1754():311-326. PubMed ID: 29536451
[TBL] [Abstract][Full Text] [Related]
20. Systematic evaluation with practical guidelines for single-cell and spatially resolved transcriptomics data simulation under multiple scenarios.
Duo H; Li Y; Lan Y; Tao J; Yang Q; Xiao Y; Sun J; Li L; Nie X; Zhang X; Liang G; Liu M; Hao Y; Li B
Genome Biol; 2024 Jun; 25(1):145. PubMed ID: 38831386
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]