127 related articles for article (PubMed ID: 36382188)
41. DIMM-SC: a Dirichlet mixture model for clustering droplet-based single cell transcriptomic data.
Sun Z; Wang T; Deng K; Wang XF; Lafyatis R; Ding Y; Hu M; Chen W
Bioinformatics; 2018 Jan; 34(1):139-146. PubMed ID: 29036318
[TBL] [Abstract][Full Text] [Related]
42. A robust experimental and computational analysis framework at multiple resolutions, modalities and coverages.
Tran M; Yoon S; Teoh M; Andersen S; Lam PY; Purdue BW; Raghubar A; Hanson SJ; Devitt K; Jones K; Walters S; Monkman J; Kulasinghe A; Tuong ZK; Soyer HP; Frazer IH; Nguyen Q
Front Immunol; 2022; 13():911873. PubMed ID: 35967449
[TBL] [Abstract][Full Text] [Related]
43. Single-cell transcriptomic architecture and intercellular crosstalk of human intrahepatic cholangiocarcinoma.
Zhang M; Yang H; Wan L; Wang Z; Wang H; Ge C; Liu Y; Hao Y; Zhang D; Shi G; Gong Y; Ni Y; Wang C; Zhang Y; Xi J; Wang S; Shi L; Zhang L; Yue W; Pei X; Liu B; Yan X
J Hepatol; 2020 Nov; 73(5):1118-1130. PubMed ID: 32505533
[TBL] [Abstract][Full Text] [Related]
44. Single-Cell Analysis of the Muscle Stem Cell Hierarchy Identifies Heterotypic Communication Signals Involved in Skeletal Muscle Regeneration.
De Micheli AJ; Laurilliard EJ; Heinke CL; Ravichandran H; Fraczek P; Soueid-Baumgarten S; De Vlaminck I; Elemento O; Cosgrove BD
Cell Rep; 2020 Mar; 30(10):3583-3595.e5. PubMed ID: 32160558
[TBL] [Abstract][Full Text] [Related]
45. PathogenTrack and Yeskit: tools for identifying intracellular pathogens from single-cell RNA-sequencing datasets as illustrated by application to COVID-19.
Zhang W; Xu X; Fu Z; Chen J; Chen S; Tan Y
Front Med; 2022 Apr; 16(2):251-262. PubMed ID: 35192147
[TBL] [Abstract][Full Text] [Related]
46. Intercellular communication analysis of the human retinal pigment epithelial and choroidal cells predicts pathways associated with aging, cellular senescence and age-related macular degeneration.
Dhirachaikulpanich D; Lagger C; Chatsirisupachai K; de Magalhães JP; Paraoan L
Front Aging Neurosci; 2022; 14():1016293. PubMed ID: 36408112
[TBL] [Abstract][Full Text] [Related]
47. Single-cell Transcriptomics and Solid Organ Transplantation.
Malone AF; Humphreys BD
Transplantation; 2019 Sep; 103(9):1776-1782. PubMed ID: 30946217
[TBL] [Abstract][Full Text] [Related]
48. A flexible network-based imputing-and-fusing approach towards the identification of cell types from single-cell RNA-seq data.
Qi Y; Guo Y; Jiao H; Shang X
BMC Bioinformatics; 2020 Jun; 21(1):240. PubMed ID: 32527285
[TBL] [Abstract][Full Text] [Related]
49. Entropy-based inference of transition states and cellular trajectory for single-cell transcriptomics.
Gan Y; Guo C; Guo W; Xu G; Zou G
Brief Bioinform; 2022 Jul; 23(4):. PubMed ID: 35696651
[TBL] [Abstract][Full Text] [Related]
50. Binding, internalization, and intracellular processing of protein ligands. Derivation of rate constants by computer modeling.
Myers AC; Kovach JS; Vuk-Pavlović S
J Biol Chem; 1987 May; 262(14):6494-9. PubMed ID: 2952651
[TBL] [Abstract][Full Text] [Related]
51. popsicleR: A R Package for Pre-processing and Quality Control Analysis of Single Cell RNA-seq Data.
Grandi F; Caroli J; Romano O; Marchionni M; Forcato M; Bicciato S
J Mol Biol; 2022 Jun; 434(11):167560. PubMed ID: 35662457
[TBL] [Abstract][Full Text] [Related]
52. DIISCO: A Bayesian framework for inferring dynamic intercellular interactions from time-series single-cell data.
Park C; Mani S; Beltran-Velez N; Maurer K; Gohil S; Li S; Huang T; Knowles DA; Wu CJ; Azizi E
bioRxiv; 2023 Nov; ():. PubMed ID: 38014338
[TBL] [Abstract][Full Text] [Related]
53. Diagnostic test accuracy of nutritional tools used to identify undernutrition in patients with colorectal cancer: a systematic review.
Håkonsen SJ; Pedersen PU; Bath-Hextall F; Kirkpatrick P
JBI Database System Rev Implement Rep; 2015 May; 13(4):141-87. PubMed ID: 26447079
[TBL] [Abstract][Full Text] [Related]
54. Examining the Development of Chronic Thromboembolic Pulmonary Hypertension at the Single-Cell Level.
Miao R; Dong X; Gong J; Li Y; Guo X; Wang J; Huang Q; Wang Y; Li J; Yang S; Kuang T; Liu M; Wan J; Zhai Z; Zhong J; Yang Y
Hypertension; 2022 Mar; 79(3):562-574. PubMed ID: 34965740
[TBL] [Abstract][Full Text] [Related]
55. Understanding of mouse and human bladder at single-cell resolution: integrated analysis of trajectory and cell-cell interactive networks based on multiple scRNA-seq datasets.
Shi B; Wu Y; Chen H; Ding J; Qi J
Cell Prolif; 2022 Jan; 55(1):e13170. PubMed ID: 34951074
[TBL] [Abstract][Full Text] [Related]
56. A Partial Picture of the Single-Cell Transcriptomics of Human IgA Nephropathy.
Tang R; Meng T; Lin W; Shen C; Ooi JD; Eggenhuizen PJ; Jin P; Ding X; Chen J; Tang Y; Xiao Z; Ao X; Peng W; Zhou Q; Xiao P; Zhong Y; Xiao X
Front Immunol; 2021; 12():645988. PubMed ID: 33936064
[TBL] [Abstract][Full Text] [Related]
57. 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]
58. ORIGINS: A protein network-based approach to quantify cell pluripotency from scRNA-seq data.
Senra D; Guisoni N; Diambra L
MethodsX; 2022; 9():101778. PubMed ID: 35855951
[TBL] [Abstract][Full Text] [Related]
59. Single-cell mapper (scMappR): using scRNA-seq to infer the cell-type specificities of differentially expressed genes.
Sokolowski DJ; Faykoo-Martinez M; Erdman L; Hou H; Chan C; Zhu H; Holmes MM; Goldenberg A; Wilson MD
NAR Genom Bioinform; 2021 Mar; 3(1):lqab011. PubMed ID: 33655208
[TBL] [Abstract][Full Text] [Related]
60. FTH1- and SAT1-Induced Astrocytic Ferroptosis Is Involved in Alzheimer's Disease: Evidence from Single-Cell Transcriptomic Analysis.
Dang Y; He Q; Yang S; Sun H; Liu Y; Li W; Tang Y; Zheng Y; Wu T
Pharmaceuticals (Basel); 2022 Sep; 15(10):. PubMed ID: 36297287
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
