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.
258 related articles for article (PubMed ID: 37023414)
21. Semi-deconvolution of bulk and single-cell RNA-seq data with application to metastatic progression in breast cancer. Lei H; Guo XA; Tao Y; Ding K; Fu X; Oesterreich S; Lee AV; Schwartz R Bioinformatics; 2022 Jun; 38(Suppl 1):i386-i394. PubMed ID: 35758822 [TBL] [Abstract][Full Text] [Related]
22. Establishment of an ovarian cancer omentum metastasis-related prognostic model by integrated analysis of scRNA-seq and bulk RNA-seq. Zhang D; Lu W; Cui S; Mei H; Wu X; Zhuo Z J Ovarian Res; 2022 Nov; 15(1):123. PubMed ID: 36424614 [TBL] [Abstract][Full Text] [Related]
24. Accurate estimation of cell composition in bulk expression through robust integration of single-cell information. Jew B; Alvarez M; Rahmani E; Miao Z; Ko A; Garske KM; Sul JH; Pietiläinen KH; Pajukanta P; Halperin E Nat Commun; 2020 Apr; 11(1):1971. PubMed ID: 32332754 [TBL] [Abstract][Full Text] [Related]
25. Detecting cell-type-specific allelic expression imbalance by integrative analysis of bulk and single-cell RNA sequencing data. Fan J; Wang X; Xiao R; Li M PLoS Genet; 2021 Mar; 17(3):e1009080. PubMed ID: 33661921 [TBL] [Abstract][Full Text] [Related]
27. Identifying cell types to interpret scRNA-seq data: how, why and more possibilities. Wang Z; Ding H; Zou Q Brief Funct Genomics; 2020 Jul; 19(4):286-291. PubMed ID: 32232401 [TBL] [Abstract][Full Text] [Related]
28. A pan-cancer single-cell RNA-seq atlas of intratumoral B cells. Fitzsimons E; Qian D; Enica A; Thakkar K; Augustine M; Gamble S; Reading JL; Litchfield K Cancer Cell; 2024 Oct; 42(10):1784-1797.e4. PubMed ID: 39406187 [TBL] [Abstract][Full Text] [Related]
29. Analysis of scRNA-seq and bulk RNA-seq demonstrates the effects of EVI2B or CD361 on CD8 Xie T; Feng W; He M; Zhan X; Liao S; He J; Qin Z; Li F; Xu J; Liu Y; Wei Q Exp Biol Med (Maywood); 2023 Jan; 248(2):130-145. PubMed ID: 36511103 [TBL] [Abstract][Full Text] [Related]
30. 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]
31. Single-cell RNA sequencing in breast cancer: Understanding tumor heterogeneity and paving roads to individualized therapy. Ding S; Chen X; Shen K Cancer Commun (Lond); 2020 Aug; 40(8):329-344. PubMed ID: 32654419 [TBL] [Abstract][Full Text] [Related]
32. Digitaldlsorter: Deep-Learning on scRNA-Seq to Deconvolute Gene Expression Data. Torroja C; Sanchez-Cabo F Front Genet; 2019; 10():978. PubMed ID: 31708961 [TBL] [Abstract][Full Text] [Related]
33. Identification of differentially expressed genes in lung adenocarcinoma cells using single-cell RNA sequencing not detected using traditional RNA sequencing and microarray. Chen Z; Zhao M; Li M; Sui Q; Bian Y; Liang J; Hu Z; Zheng Y; Lu T; Huang Y; Zhan C; Jiang W; Wang Q; Tan L Lab Invest; 2020 Oct; 100(10):1318-1329. PubMed ID: 32327726 [TBL] [Abstract][Full Text] [Related]
34. IGFBP7+ subpopulation and IGFBP7 risk score in astrocytoma: insights from scRNA-Seq and bulk RNA-Seq. Zhao L; Shao W; Xiahou Z; Ren L; Liu C; Song Y; Xu H; Wang Z; Xing J Front Immunol; 2024; 15():1434300. PubMed ID: 39403379 [TBL] [Abstract][Full Text] [Related]
35. Effective methods for bulk RNA-seq deconvolution using scnRNA-seq transcriptomes. Cobos FA; Panah MJN; Epps J; Long X; Man TK; Chiu HS; Chomsky E; Kiner E; Krueger MJ; di Bernardo D; Voloch L; Molenaar J; van Hooff SR; Westermann F; Jansky S; Redell ML; Mestdagh P; Sumazin P Genome Biol; 2023 Aug; 24(1):177. PubMed ID: 37528411 [TBL] [Abstract][Full Text] [Related]
36. Analysis of the key ligand receptor CADM1_CADM1 in the regulation of thyroid cancer based on scRNA-seq and bulk RNA-seq data. He H; Cong S; Wang Y; Ji Q; Liu W; Qu N Front Endocrinol (Lausanne); 2022; 13():969914. PubMed ID: 36523593 [TBL] [Abstract][Full Text] [Related]
37. Integrated analysis of single-cell RNA-seq and bulk RNA-seq to unravel the molecular mechanisms underlying the immune microenvironment in the development of intestinal-type gastric cancer. Su Y; Zhang X; Liang Y; Sun J; Lu C; Huang Z Biochim Biophys Acta Mol Basis Dis; 2024 Jan; 1870(1):166849. PubMed ID: 37591405 [TBL] [Abstract][Full Text] [Related]
38. Integrated Analysis of scRNA-Seq and Bulk RNA-Seq Reveals Metabolic Reprogramming of Liver Cancer and Establishes a Prognostic Risk Model. Xiong Z; Li L; Wang G; Guo L; Luo S; Liao X; Liu J; Teng W Genes (Basel); 2024 Jun; 15(6):. PubMed ID: 38927691 [TBL] [Abstract][Full Text] [Related]
39. Creation of a Single Cell RNASeq Meta-Atlas to Define Human Liver Immune Homeostasis. Rocque B; Barbetta A; Singh P; Goldbeck C; Helou DG; Loh YE; Ung N; Lee J; Akbari O; Emamaullee J Front Immunol; 2021; 12():679521. PubMed ID: 34335581 [TBL] [Abstract][Full Text] [Related]
40. Single-cell RNA-Seq and bulk RNA-Seq reveal reliable diagnostic and prognostic biomarkers for CRC. Zhang X; Yang L; Deng Y; Huang Z; Huang H; Wu Y; He B; Hu F J Cancer Res Clin Oncol; 2023 Sep; 149(12):9805-9821. PubMed ID: 37247080 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]