| Assessment of network module identification across complex diseases S Choobdar, ME Ahsen, J Crawford, M Tomasoni, T Fang, D Lamparter, ... Nature methods 16 (9), 843-852, 2019 | 241 | 2019 |
| Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: development of a prognostic model through a crowdsourced challenge with open … J Guinney, T Wang, TD Laajala, KK Winner, JC Bare, EC Neto, SA Khan, ... The Lancet Oncology 18 (1), 132-142, 2017 | 161 | 2017 |
| MicroRNA-155 as an inducer of apoptosis and cell differentiation in Acute Myeloid Leukaemia CA Palma, D Al Sheikha, TK Lim, A Bryant, TT Vu, V Jayaswal, DDF Ma Molecular cancer 13, 1-15, 2014 | 115 | 2014 |
| miR-10a is aberrantly overexpressed in Nucleophosmin1 mutated acute myeloid leukaemia and its suppression induces cell death A Bryant, CA Palma, V Jayaswal, YW Yang, M Lutherborrow, DDF Ma Molecular cancer 11, 1-9, 2012 | 87 | 2012 |
| Identification of microRNA-mRNA modules using microarray data V Jayaswal, M Lutherborrow, DDF Ma, YH Yang BMC genomics 12, 1-13, 2011 | 79 | 2011 |
| Estimation of phylogeny using a general Markov model V Jayaswal, LS Jermiin, J Robinson Evolutionary Bioinformatics 1, 117693430500100005, 2005 | 79 | 2005 |
| MicroRNA and mRNA expression profiling in metastatic melanoma reveal associations with BRAF mutation and patient prognosis V Tembe, SJ Schramm, MS Stark, E Patrick, V Jayaswal, YH Tang, ... Pigment cell & melanoma research 28 (3), 254-266, 2015 | 66 | 2015 |
| Mixture models of nucleotide sequence evolution that account for heterogeneity in the substitution process across sites and across lineages V Jayaswal, TKF Wong, J Robinson, L Poladian, LS Jermiin Systematic biology 63 (5), 726-742, 2014 | 62 | 2014 |
| Phylogenetic model evaluation LS Jermiin, V Jayaswal, F Ababneh, J Robinson Bioinformatics: Data, Sequence Analysis and Evolution, 331-364, 2008 | 58 | 2008 |
| Expression profiling of cytogenetically normal acute myeloid leukemia identifies microRNAs that target genes involved in monocytic differentiation M Lutherborrow, A Bryant, V Jayaswal, D Agapiou, C Palma, YH Yang, ... American journal of hematology 86 (1), 2-11, 2011 | 57 | 2011 |
| Fluid intake and all-cause mortality, cardiovascular mortality and kidney function: a population-based longitudinal cohort study SC Palmer, G Wong, S Iff, J Yang, V Jayaswal, JC Craig, E Rochtchina, ... Nephrology Dialysis Transplantation 29 (7), 1377-1384, 2014 | 52 | 2014 |
| Identification of microRNAs with regulatory potential using a matched microRNA-mRNA time-course data V Jayaswal, M Lutherborrow, DDF Ma, Y Hwa Yang Nucleic acids research 37 (8), e60-e60, 2009 | 45 | 2009 |
| Estimation of phylogeny and invariant sites under the general Markov model of nucleotide sequence evolution V Jayaswal, J Robinson, L Jermiin Systematic biology 56 (2), 155-162, 2007 | 45 | 2007 |
| Two stationary nonhomogeneous Markov models of nucleotide sequence evolution V Jayaswal, LS Jermiin, L Poladian, J Robinson Systematic Biology 60 (1), 74-86, 2011 | 40 | 2011 |
| Knowledge-based analysis for detecting key signaling events from time-series phosphoproteomics data P Yang, X Zheng, V Jayaswal, G Hu, JYH Yang, R Jothi PLoS computational biology 11 (8), e1004403, 2015 | 37 | 2015 |
| Reducing model complexity of the general Markov model of evolution V Jayaswal, F Ababneh, LS Jermiin, J Robinson Molecular Biology and Evolution 28 (11), 3045-3059, 2011 | 31 | 2011 |
| Nonadaptive molecular evolution of seminal fluid proteins in Drosophila B Patlar, V Jayaswal, JM Ranz, A Civetta Evolution 75 (8), 2102-2113, 2021 | 27 | 2021 |
| Identifying optimal models of evolution LS Jermiin, V Jayaswal, FM Ababneh, J Robinson Bioinformatics: Volume I: Data, Sequence Analysis, and Evolution, 379-420, 2017 | 25 | 2017 |
| Community assessment of the predictability of cancer protein and phosphoprotein levels from genomics and transcriptomics M Yang, F Petralia, Z Li, H Li, W Ma, X Song, S Kim, H Lee, H Yu, B Lee, ... Cell systems 11 (2), 186-195. e9, 2020 | 21 | 2020 |
| Functional Divergence of the miRNA Transcriptome at the Onset of Drosophila Metamorphosis SD Yeh, M von Grotthuss, KA Gandasetiawan, S Jayasekera, XQ Xia, ... Molecular biology and evolution 31 (10), 2557-2572, 2014 | 19 | 2014 |
Jean Yee Hwa YangUniversity of SydneyVerified email at sydney.edu.au
