Jiang Y - Search Results

1

Bioinformatics for plant and agricultural discoveries in the age of multiomics: A review and case study of maize nodal root growth under water deficit.

Wang J, Sidharth S, Zeng S, Jiang Y, Chan YO, Lyu Z, McCubbin T, Mertz R, Sharp RE, Joshi T. Wang J, et al. Among authors: jiang y. Physiol Plant. 2022 Mar;174(2):e13672. doi: 10.1111/ppl.13672. Physiol Plant. 2022. PMID: 35297059 Review.

2

RDF SKETCH MAPS - KNOWLEDGE COMPLEXITY REDUCTION FOR PRECISION MEDICINE ANALYTICS.

Thanintorn N, Wang J, Ersoy I, Al-Taie Z, Jiang Y, Wang D, Verma M, Joshi T, Hammer R, Xu D, Shin D. Thanintorn N, et al. Among authors: jiang y. Pac Symp Biocomput. 2016;21:417-28. Pac Symp Biocomput. 2016. PMID: 26776205 Free article.

3

BFDCA: A Comprehensive Tool of Using Bayes Factor for Differential Co-Expression Analysis.

Wang D, Wang J, Jiang Y, Liang Y, Xu D. Wang D, et al. Among authors: jiang y. J Mol Biol. 2017 Feb 3;429(3):446-453. doi: 10.1016/j.jmb.2016.10.030. Epub 2016 Oct 27. J Mol Biol. 2017. PMID: 27984044 Free PMC article.

4

Silencing AXL by covalent siRNA-gelatin-antibody nanoconjugate inactivates mTOR/EMT pathway and stimulates p53 for TKI sensitization in NSCLC.

Suresh D, Zambre A, Mukherjee S, Ghoshdastidar S, Jiang Y, Joshi T, Upendran A, Kannan R. Suresh D, et al. Among authors: jiang y. Nanomedicine. 2019 Aug;20:102007. doi: 10.1016/j.nano.2019.04.010. Epub 2019 May 12. Nanomedicine. 2019. PMID: 31085346

5

Transcriptomics Analysis Reveals New Insights into the Roles of Notch1 Signaling on Macrophage Polarization.

Hans CP, Sharma N, Sen S, Zeng S, Dev R, Jiang Y, Mahajan A, Joshi T. Hans CP, et al. Among authors: jiang y. Sci Rep. 2019 May 29;9(1):7999. doi: 10.1038/s41598-019-44266-4. Sci Rep. 2019. PMID: 31142802 Free PMC article.

6

A dynamic programing approach to integrate gene expression data and network information for pathway model generation.

Jiang Y, Liang Y, Wang D, Xu D, Joshi T. Jiang Y, et al. Bioinformatics. 2020 Jan 1;36(1):169-176. doi: 10.1093/bioinformatics/btz467. Bioinformatics. 2020. PMID: 31168616

7

IMPRes-Pro: A high dimensional multiomics integration method for in silico hypothesis generation.

Jiang Y, Wang D, Xu D, Joshi T. Jiang Y, et al. Methods. 2020 Feb 15;173:16-23. doi: 10.1016/j.ymeth.2019.06.013. Epub 2019 Jun 17. Methods. 2020. PMID: 31220603

8

Upregulated proteoglycan-related signaling pathways in fluid flow shear stress-treated podocytes.

Srivastava T, Joshi T, Jiang Y, Heruth DP, Rezaiekhaligh MH, Novak J, Staggs VS, Alon US, Garola RE, El-Meanawy A, McCarthy ET, Zhou J, Boinpelly VC, Sharma R, Savin VJ, Sharma M. Srivastava T, et al. Among authors: jiang y. Am J Physiol Renal Physiol. 2020 Aug 1;319(2):F312-F322. doi: 10.1152/ajprenal.00183.2020. Epub 2020 Jul 6. Am J Physiol Renal Physiol. 2020. PMID: 32628542 Free PMC article.

9

scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses.

Wang J, Ma A, Chang Y, Gong J, Jiang Y, Qi R, Wang C, Fu H, Ma Q, Xu D. Wang J, et al. Among authors: jiang y. Nat Commun. 2021 Mar 25;12(1):1882. doi: 10.1038/s41467-021-22197-x. Nat Commun. 2021. PMID: 33767197 Free PMC article.

10

Transcription Factor β-Catenin Plays a Key Role in Fluid Flow Shear Stress-Mediated Glomerular Injury in Solitary Kidney.

Srivastava T, Heruth DP, Duncan RS, Rezaiekhaligh MH, Garola RE, Priya L, Zhou J, Boinpelly VC, Novak J, Ali MF, Joshi T, Alon US, Jiang Y, McCarthy ET, Savin VJ, Sharma R, Johnson ML, Sharma M. Srivastava T, et al. Among authors: jiang y. Cells. 2021 May 19;10(5):1253. doi: 10.3390/cells10051253. Cells. 2021. PMID: 34069476 Free PMC article.

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