1099 related articles for article (PubMed ID: 30696980)
21. Enabling reproducible re-analysis of single-cell data.
Skinnider MA; Squair JW; Courtine G
Genome Biol; 2021 Jul; 22(1):215. PubMed ID: 34311752
[No Abstract] [Full Text] [Related]
22. DIscBIO: A User-Friendly Pipeline for Biomarker Discovery in Single-Cell Transcriptomics.
Ghannoum S; Leoncio Netto W; Fantini D; Ragan-Kelley B; Parizadeh A; Jonasson E; Ståhlberg A; Farhan H; Köhn-Luque A
Int J Mol Sci; 2021 Jan; 22(3):. PubMed ID: 33573289
[TBL] [Abstract][Full Text] [Related]
23. Cell lineage inference from SNP and scRNA-Seq data.
Ding J; Lin C; Bar-Joseph Z
Nucleic Acids Res; 2019 Jun; 47(10):e56. PubMed ID: 30820578
[TBL] [Abstract][Full Text] [Related]
24. Computational Methods for Single-cell DNA Methylome Analysis.
Iqbal W; Zhou W
Genomics Proteomics Bioinformatics; 2023 Feb; 21(1):48-66. PubMed ID: 35718270
[TBL] [Abstract][Full Text] [Related]
25. A statistical approach for identifying differential distributions in single-cell RNA-seq experiments.
Korthauer KD; Chu LF; Newton MA; Li Y; Thomson J; Stewart R; Kendziorski C
Genome Biol; 2016 Oct; 17(1):222. PubMed ID: 27782827
[TBL] [Abstract][Full Text] [Related]
26. Identification of Cell Types from Single-Cell Transcriptomic Data.
Shekhar K; Menon V
Methods Mol Biol; 2019; 1935():45-77. PubMed ID: 30758819
[TBL] [Abstract][Full Text] [Related]
27. Preprocessing and Computational Analysis of Single-Cell Epigenomic Datasets.
Lareau C; Kangeyan D; Aryee MJ
Methods Mol Biol; 2019; 1935():187-202. PubMed ID: 30758828
[TBL] [Abstract][Full Text] [Related]
28. Single-cell Transcriptome Study as Big Data.
Yu P; Lin W
Genomics Proteomics Bioinformatics; 2016 Feb; 14(1):21-30. PubMed ID: 26876720
[TBL] [Abstract][Full Text] [Related]
29. Single-cell and spatial transcriptomics approaches of cardiovascular development and disease.
Roth R; Kim S; Kim J; Rhee S
BMB Rep; 2020 Aug; 53(8):393-399. PubMed ID: 32684243
[TBL] [Abstract][Full Text] [Related]
30. Integration of single cell data by disentangled representation learning.
Guo T; Chen Y; Shi M; Li X; Zhang MQ
Nucleic Acids Res; 2022 Jan; 50(2):e8. PubMed ID: 34850092
[TBL] [Abstract][Full Text] [Related]
31. A Bayesian mixture model for clustering droplet-based single-cell transcriptomic data from population studies.
Sun Z; Chen L; Xin H; Jiang Y; Huang Q; Cillo AR; Tabib T; Kolls JK; Bruno TC; Lafyatis R; Vignali DAA; Chen K; Ding Y; Hu M; Chen W
Nat Commun; 2019 Apr; 10(1):1649. PubMed ID: 30967541
[TBL] [Abstract][Full Text] [Related]
32. Lineage Inference and Stem Cell Identity Prediction Using Single-Cell RNA-Sequencing Data.
Sagar ; Grün D
Methods Mol Biol; 2019; 1975():277-301. PubMed ID: 31062315
[TBL] [Abstract][Full Text] [Related]
33. Conquering computational challenges of omics data and post-ENCODE paradigms.
Lussier YA; Li H; Maienschein-Cline M
Genome Biol; 2013 Aug; 14(8):310. PubMed ID: 23998801
[TBL] [Abstract][Full Text] [Related]
34. Visualization of Single Cell RNA-Seq Data Using t-SNE in R.
Zhou B; Jin W
Methods Mol Biol; 2020; 2117():159-167. PubMed ID: 31960377
[TBL] [Abstract][Full Text] [Related]
35. Independent component analysis based gene co-expression network inference (ICAnet) to decipher functional modules for better single-cell clustering and batch integration.
Wang W; Tan H; Sun M; Han Y; Chen W; Qiu S; Zheng K; Wei G; Ni T
Nucleic Acids Res; 2021 May; 49(9):e54. PubMed ID: 33619563
[TBL] [Abstract][Full Text] [Related]
36. Computational approaches for high-throughput single-cell data analysis.
Todorov H; Saeys Y
FEBS J; 2019 Apr; 286(8):1451-1467. PubMed ID: 30058136
[TBL] [Abstract][Full Text] [Related]
37. coupleCoC+: An information-theoretic co-clustering-based transfer learning framework for the integrative analysis of single-cell genomic data.
Zeng P; Lin Z
PLoS Comput Biol; 2021 Jun; 17(6):e1009064. PubMed ID: 34077420
[TBL] [Abstract][Full Text] [Related]
38. Machine learning integrative approaches to advance computational immunology.
Curion F; Theis FJ
Genome Med; 2024 Jun; 16(1):80. PubMed ID: 38862979
[TBL] [Abstract][Full Text] [Related]
39. SCMAG: A Semisupervised Single-Cell Clustering Method Based on Matrix Aggregation Graph Convolutional Neural Network.
Peng H; Fan W; Fang C; Gao W; Li Y
Comput Math Methods Med; 2021; 2021():6842752. PubMed ID: 34646337
[TBL] [Abstract][Full Text] [Related]
40. Benchmarking single cell RNA-sequencing analysis pipelines using mixture control experiments.
Tian L; Dong X; Freytag S; Lê Cao KA; Su S; JalalAbadi A; Amann-Zalcenstein D; Weber TS; Seidi A; Jabbari JS; Naik SH; Ritchie ME
Nat Methods; 2019 Jun; 16(6):479-487. PubMed ID: 31133762
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]