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Year | Number of Results |
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2020 | 2 |
2021 | 3 |
2023 | 2 |
2024 | 1 |
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Page 1
OTTERS: a powerful TWAS framework leveraging summary-level reference data.
Nat Commun. 2023 Mar 7;14(1):1271. doi: 10.1038/s41467-023-36862-w.
Nat Commun. 2023.
PMID: 36882394
Free PMC article.
G2S3: A gene graph-based imputation method for single-cell RNA sequencing data.
Wu W, Liu Y, Dai Q, Yan X, Wang Z.
Wu W, et al. Among authors: dai q.
PLoS Comput Biol. 2021 May 18;17(5):e1009029. doi: 10.1371/journal.pcbi.1009029. eCollection 2021 May.
PLoS Comput Biol. 2021.
PMID: 34003861
Free PMC article.
Item in Clipboard
Regulation and characterization of tumor-infiltrating immune cells in breast cancer.
Dai Q, Wu W, Amei A, Yan X, Lu L, Wang Z.
Dai Q, et al.
Int Immunopharmacol. 2021 Jan;90:107167. doi: 10.1016/j.intimp.2020.107167. Epub 2020 Nov 19.
Int Immunopharmacol. 2021.
PMID: 33223469
Free PMC article.
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MicroRNA miR-24-3p reduces DNA damage responses, apoptosis, and susceptibility to chronic obstructive pulmonary disease.
Nouws J, Wan F, Finnemore E, Roque W, Kim SJ, Bazan I, Li CX, Skold CM, Dai Q, Yan X, Chioccioli M, Neumeister V, Britto CJ, Sweasy J, Bindra R, Wheelock ÅM, Gomez JL, Kaminski N, Lee PJ, Sauler M.
Nouws J, et al. Among authors: dai q.
JCI Insight. 2021 Jan 25;6(2):e134218. doi: 10.1172/jci.insight.134218.
JCI Insight. 2021.
PMID: 33290275
Free PMC article.
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STACCato: Supervised Tensor Analysis tool for studying Cell-cell Communication using scRNA-seq data across multiple samples and conditions.
Dai Q, Epstein MP, Yang J.
Dai Q, et al.
bioRxiv [Preprint]. 2023 Dec 16:2023.12.15.571918. doi: 10.1101/2023.12.15.571918.
bioRxiv. 2023.
PMID: 38168391
Free PMC article.
Preprint.
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Interplay of tRNA-Derived Fragments and T Cell Activation in Breast Cancer Patient Survival.
Shan N, Li N, Dai Q, Hou L, Yan X, Amei A, Lu L, Wang Z.
Shan N, et al. Among authors: dai q.
Cancers (Basel). 2020 Aug 10;12(8):2230. doi: 10.3390/cancers12082230.
Cancers (Basel). 2020.
PMID: 32785169
Free PMC article.
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Proteome-wide association studies using summary proteomic data identified 23 risk genes of Alzheimer's disease.
Hu T, Dai Q, Epstein MP, Yang J.
Hu T, et al. Among authors: dai q.
medRxiv [Preprint]. 2024 Mar 30:2024.03.28.24305044. doi: 10.1101/2024.03.28.24305044.
medRxiv. 2024.
PMID: 38585769
Free PMC article.
Preprint.
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