52 related articles for article (PubMed ID: 38658803)
1. Evaluating performance and applications of sample-wise cell deconvolution methods on human brain transcriptomic data.
Dai R; Chu T; Zhang M; Wang X; Jourdon A; Wu F; Mariani J; Vaccarino FM; Lee D; Fullard JF; Hoffman GE; Roussos P; Wang Y; Wang X; Pinto D; Wang SH; Zhang C; ; Chen C; Liu C
Sci Adv; 2024 May; 10(21):eadh2588. PubMed ID: 38781336
[TBL] [Abstract][Full Text] [Related]
2. EnsMOD: A Software Program for Omics Sample Outlier Detection.
Manes NP; Song J; Nita-Lazar A
J Comput Biol; 2023 Jun; 30(6):726-735. PubMed ID: 37042708
[TBL] [Abstract][Full Text] [Related]
3. Evaluating performance and applications of sample-wise cell deconvolution methods on human brain transcriptomic data.
Dai R; Chu T; Zhang M; Wang X; Jourdon A; Wu F; Mariani J; Vaccarino FM; Lee D; Fullard JF; Hoffman GE; Roussos P; Wang Y; Wang X; Pinto D; Wang SH; Zhang C; ; Chen C; Liu C
bioRxiv; 2023 Mar; ():. PubMed ID: 36993743
[TBL] [Abstract][Full Text] [Related]
4. Single cell transcriptomics: moving towards multi-omics.
Song Y; Xu X; Wang W; Tian T; Zhu Z; Yang C
Analyst; 2019 May; 144(10):3172-3189. PubMed ID: 30849139
[TBL] [Abstract][Full Text] [Related]
5. Integrative Analysis of Multi-omics Data for Discovery and Functional Studies of Complex Human Diseases.
Sun YV; Hu YJ
Adv Genet; 2016; 93():147-90. PubMed ID: 26915271
[TBL] [Abstract][Full Text] [Related]
6. Multimodal joint deconvolution and integrative signature selection in proteomics.
Pan Y; Wang X; Sun J; Liu C; Peng J; Li Q
Commun Biol; 2024 Apr; 7(1):493. PubMed ID: 38658803
[TBL] [Abstract][Full Text] [Related]
7. imply: improving cell-type deconvolution accuracy using personalized reference profiles.
Meng G; Pan Y; Tang W; Zhang L; Cui Y; Schumacher FR; Wang M; Wang R; He S; Krischer J; Li Q; Feng H
Genome Med; 2024 Apr; 16(1):65. PubMed ID: 38685057
[TBL] [Abstract][Full Text] [Related]
8. Deconvolving the contributions of cell-type heterogeneity on cortical gene expression.
Patrick E; Taga M; Ergun A; Ng B; Casazza W; Cimpean M; Yung C; Schneider JA; Bennett DA; Gaiteri C; De Jager PL; Bradshaw EM; Mostafavi S
PLoS Comput Biol; 2020 Aug; 16(8):e1008120. PubMed ID: 32804935
[TBL] [Abstract][Full Text] [Related]
9. Integrated proteotranscriptomics of breast cancer reveals globally increased protein-mRNA concordance associated with subtypes and survival.
Tang W; Zhou M; Dorsey TH; Prieto DA; Wang XW; Ruppin E; Veenstra TD; Ambs S
Genome Med; 2018 Dec; 10(1):94. PubMed ID: 30501643
[TBL] [Abstract][Full Text] [Related]
10. MuSiC2: cell-type deconvolution for multi-condition bulk RNA-seq data.
Fan J; Lyu Y; Zhang Q; Wang X; Li M; Xiao R
Brief Bioinform; 2022 Nov; 23(6):. PubMed ID: 36208175
[TBL] [Abstract][Full Text] [Related]
11. Multi-omics Data Deconvolution and Integration: New Methods, Insights, and Translational Implications.
Wang X; Fridley BL
Methods Mol Biol; 2023; 2629():1-9. PubMed ID: 36929070
[TBL] [Abstract][Full Text] [Related]
12. ISLET: individual-specific reference panel recovery improves cell-type-specific inference.
Feng H; Meng G; Lin T; Parikh H; Pan Y; Li Z; Krischer J; Li Q
Genome Biol; 2023 Jul; 24(1):174. PubMed ID: 37496087
[TBL] [Abstract][Full Text] [Related]
13. Single-cell proteomics enabled by next-generation sequencing or mass spectrometry.
Bennett HM; Stephenson W; Rose CM; Darmanis S
Nat Methods; 2023 Mar; 20(3):363-374. PubMed ID: 36864196
[TBL] [Abstract][Full Text] [Related]
14. A comprehensive assessment of cell type-specific differential expression methods in bulk data.
Meng G; Tang W; Huang E; Li Z; Feng H
Brief Bioinform; 2023 Jan; 24(1):. PubMed ID: 36472568
[TBL] [Abstract][Full Text] [Related]
15. Deep autoencoder for interpretable tissue-adaptive deconvolution and cell-type-specific gene analysis.
Chen Y; Wang Y; Chen Y; Cheng Y; Wei Y; Li Y; Wang J; Wei Y; Chan TF; Li Y
Nat Commun; 2022 Nov; 13(1):6735. PubMed ID: 36347853
[TBL] [Abstract][Full Text] [Related]
16.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
17.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
18.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
19.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
20.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
[Next] [New Search]
