These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
71. scSLAM-seq reveals core features of transcription dynamics in single cells. Erhard F; Baptista MAP; Krammer T; Hennig T; Lange M; Arampatzi P; Jürges CS; Theis FJ; Saliba AE; Dölken L Nature; 2019 Jul; 571(7765):419-423. PubMed ID: 31292545 [TBL] [Abstract][Full Text] [Related]
72. Millefy: visualizing cell-to-cell heterogeneity in read coverage of single-cell RNA sequencing datasets. Ozaki H; Hayashi T; Umeda M; Nikaido I BMC Genomics; 2020 Mar; 21(1):177. PubMed ID: 32122302 [TBL] [Abstract][Full Text] [Related]
73. Single-Cell RNA Sequencing of the Adult Mammalian Heart-State-of-the-Art and Future Perspectives. Gladka MM Curr Heart Fail Rep; 2021 Apr; 18(2):64-70. PubMed ID: 33629280 [TBL] [Abstract][Full Text] [Related]
74. 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]
75. Visualizing Single-Cell RNA-seq Data with Semisupervised Principal Component Analysis. Liu Z Int J Mol Sci; 2020 Aug; 21(16):. PubMed ID: 32806757 [TBL] [Abstract][Full Text] [Related]
76. Anti-bias training for (sc)RNA-seq: experimental and computational approaches to improve precision. Davies P; Jones M; Liu J; Hebenstreit D Brief Bioinform; 2021 Nov; 22(6):. PubMed ID: 33959753 [TBL] [Abstract][Full Text] [Related]
77. scDAPA: detection and visualization of dynamic alternative polyadenylation from single cell RNA-seq data. Ye C; Zhou Q; Wu X; Yu C; Ji G; Saban DR; Li QQ Bioinformatics; 2020 Feb; 36(4):1262-1264. PubMed ID: 31557285 [TBL] [Abstract][Full Text] [Related]
78. An accurate and robust imputation method scImpute for single-cell RNA-seq data. Li WV; Li JJ Nat Commun; 2018 Mar; 9(1):997. PubMed ID: 29520097 [TBL] [Abstract][Full Text] [Related]
79. Biological and Medical Importance of Cellular Heterogeneity Deciphered by Single-Cell RNA Sequencing. Gupta RK; Kuznicki J Cells; 2020 Jul; 9(8):. PubMed ID: 32707839 [TBL] [Abstract][Full Text] [Related]
80. Single-cell RNA-sequencing: The future of genome biology is now. Picelli S RNA Biol; 2017 May; 14(5):637-650. PubMed ID: 27442339 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]