Ormerod JT - Search Results

1

ClassifyR: an R package for performance assessment of classification with applications to transcriptomics.

Strbenac D, Mann GJ, Ormerod JT, Yang JY. Strbenac D, et al. Among authors: ormerod jt. Bioinformatics. 2015 Jun 1;31(11):1851-3. doi: 10.1093/bioinformatics/btv066. Epub 2015 Feb 1. Bioinformatics. 2015. PMID: 25644269

2

Differential distribution improves gene selection stability and has competitive classification performance for patient survival.

Strbenac D, Mann GJ, Yang JY, Ormerod JT. Strbenac D, et al. Among authors: ormerod jt. Nucleic Acids Res. 2016 Jul 27;44(13):e119. doi: 10.1093/nar/gkw444. Epub 2016 May 17. Nucleic Acids Res. 2016. PMID: 27190235 Free PMC article.

3

DCARS: differential correlation across ranked samples.

Ghazanfar S, Strbenac D, Ormerod JT, Yang JYH, Patrick E. Ghazanfar S, et al. Among authors: ormerod jt. Bioinformatics. 2019 Mar 1;35(5):823-829. doi: 10.1093/bioinformatics/bty698. Bioinformatics. 2019. PMID: 30102408

4

A multi-step classifier addressing cohort heterogeneity improves performance of prognostic biomarkers in three cancer types.

Patrick E, Schramm SJ, Ormerod JT, Scolyer RA, Mann GJ, Mueller S, Yang JY. Patrick E, et al. Among authors: ormerod jt. Oncotarget. 2017 Jan 10;8(2):2807-2815. doi: 10.18632/oncotarget.13203. Oncotarget. 2017. PMID: 27833072 Free PMC article.

5

scDC: single cell differential composition analysis.

Cao Y, Lin Y, Ormerod JT, Yang P, Yang JYH, Lo KK. Cao Y, et al. Among authors: ormerod jt. BMC Bioinformatics. 2019 Dec 24;20(Suppl 19):721. doi: 10.1186/s12859-019-3211-9. BMC Bioinformatics. 2019. PMID: 31870280 Free PMC article.

6

Integrated single cell data analysis reveals cell specific networks and novel coactivation markers.

Ghazanfar S, Bisogni AJ, Ormerod JT, Lin DM, Yang JY. Ghazanfar S, et al. Among authors: ormerod jt. BMC Syst Biol. 2016 Dec 5;10(Suppl 5):127. doi: 10.1186/s12918-016-0370-4. BMC Syst Biol. 2016. PMID: 28105940 Free PMC article.

7

scREMOTE: Using multimodal single cell data to predict regulatory gene relationships and to build a computational cell reprogramming model.

Tran A, Yang P, Yang JYH, Ormerod JT. Tran A, et al. Among authors: ormerod jt. NAR Genom Bioinform. 2022 Mar 15;4(1):lqac023. doi: 10.1093/nargab/lqac023. eCollection 2022 Mar. NAR Genom Bioinform. 2022. PMID: 35300460 Free PMC article.

8

Computational approaches for direct cell reprogramming: from the bulk omics era to the single cell era.

Tran A, Yang P, Yang JYH, Ormerod J. Tran A, et al. Brief Funct Genomics. 2022 Jul 27;21(4):270-279. doi: 10.1093/bfgp/elac008. Brief Funct Genomics. 2022. PMID: 35411370 Free PMC article.

9

spicyR: spatial analysis of in situ cytometry data in R.

Canete NP, Iyengar SS, Ormerod JT, Baharlou H, Harman AN, Patrick E. Canete NP, et al. Among authors: ormerod jt. Bioinformatics. 2022 May 26;38(11):3099-3105. doi: 10.1093/bioinformatics/btac268. Bioinformatics. 2022. PMID: 35438129 Free PMC article. Review.

10

AdaSampling for Positive-Unlabeled and Label Noise Learning With Bioinformatics Applications.

Yang P, Ormerod JT, Liu W, Ma C, Zomaya AY, Yang JYH. Yang P, et al. Among authors: ormerod jt. IEEE Trans Cybern. 2019 May;49(5):1932-1943. doi: 10.1109/TCYB.2018.2816984. Epub 2018 Apr 2. IEEE Trans Cybern. 2019. PMID: 29993676

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