Vivek Jayaswal
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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
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), 1-15, 2014
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
Estimation of phylogeny using a general Markov model
V Jayaswal, LS Jermiin, J Robinson
Evolutionary Bioinformatics 1, 117693430500100005, 2005
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), 1-9, 2012
Identification of microRNA-mRNA modules using microarray data
V Jayaswal, M Lutherborrow, DDF Ma, YH Yang
BMC genomics 12 (1), 1-13, 2011
Phylogenetic model evaluation
LS Jermiin, V Jayaswal, F Ababneh, J Robinson
Bioinformatics, 331-364, 2008
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
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
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
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
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
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
Two stationary nonhomogeneous Markov models of nucleotide sequence evolution
V Jayaswal, LS Jermiin, L Poladian, J Robinson
Systematic Biology 60 (1), 74-86, 2011
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
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
Gene profiling reveals association between altered Wnt signaling and loss of T‐cell potential with age in human hematopoietic stem cells
MLM Khoo, SM Carlin, MA Lutherborrow, V Jayaswal, DDF Ma, JJ Moore
Aging cell 13 (4), 744-754, 2014
SeqVis: a tool for detecting compositional heterogeneity among aligned nucleotide sequences
LS Jermiin, JWK Ho, KW Lau, V Jayaswal
Bioinformatics for DNA sequence analysis, 65-91, 2009
Identifying optimal models of evolution
LS Jermiin, V Jayaswal, FM Ababneh, J Robinson
Bioinformatics, 379-420, 2017
Disturbed protein–protein interaction networks in metastatic melanoma are associated with worse prognosis and increased functional mutation burden
SJ Schramm, SS Li, V Jayaswal, DCY Fung, AE Campain, CNI Pang, ...
Pigment cell & melanoma research 26 (5), 708-722, 2013
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