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Vivek Jayaswal
Observed names:
Jayaswal, Vivek,
V Jayaswal,
V. Jayaswal
Observed institutions:
The University of Sydney,
Federation University,
Queensland University of Technology,
UNSW Sydney,
St Vincent's Hospital Sydney,
St Vincent's Clinic,
Syngene International (India),
Ecosystem Sciences
show all 8
ORCID:
0000-0002-5130-8588
Observed ORCID:
0000-0002-5130-8588
OpenAlex ID:
A5033446319
MicroRNA-155 as an inducer of apoptosis and cell differentiation in Acute Myeloid Leukaemia
2014
·
Catalina A Palma
, Dima Al Sheikha
, et al.
·
Molecular Cancer
·
106
PDF
Phylogenetic Model Evaluation
2008
·
Lars Sommer Jermiin
, Vivek Jayaswal
, et al.
·
Methods in molecular biology
·
72
miR-10a is aberrantly overexpressed in Nucleophosmin1 mutated acute myeloid leukaemia and its suppression induces cell death
2012
·
Adam Bryant
, Catalina A Palma
, et al.
·
Molecular Cancer
·
70
PDF
Mixture Models of Nucleotide Sequence Evolution that Account for Heterogeneity in the Substitution Process Across Sites and Across Lineages
2014
·
Vivek Jayaswal
, Thomas K.F. Wong
, et al.
·
Systematic Biology
·
69
MicroRNA and mRNA expression profiling in metastatic melanoma reveal associations with BRAF mutation and patient prognosis
2014
·
Varsha Tembe
, Sarah‐Jane Schramm
, et al.
·
Pigment Cell & Melanoma Research
·
65
Identification of microRNA-mRNA modules using microarray data
2011
·
Vivek Jayaswal
, Mark Lutherborrow
, et al.
·
BMC Genomics
·
62
PDF
Fluid intake and all-cause mortality, cardiovascular mortality and kidney function: a population-based longitudinal cohort study
2014
·
Suetonia C. Palmer
, Germaine Wong
, et al.
·
Nephrology Dialysis Transplantation
·
56
Estimation of Phylogeny Using a General Markov Model
2005
·
Vivek Jayaswal
, Lars S. Jermiin
, et al.
·
Evolutionary Bioinformatics
·
53
PDF
Expression profiling of cytogenetically normal acute myeloid leukemia identifies MicroRNAs that target genes involved in monocytic differentiation
2010
·
Mark Lutherborrow
, Adam Bryant
, et al.
·
American Journal of Hematology
·
47
PDF
Nonadaptive molecular evolution of seminal fluid proteins in Drosophila
2021
·
Bahar Patlar
, Vivek Jayaswal
, et al.
·
Evolution
·
42
PDF
Estimation of Phylogeny and Invariant Sites under the General Markov Model of Nucleotide Sequence Evolution
2007
·
Vivek Jayaswal
, John Robinson
, et al.
·
Systematic Biology
·
40
Knowledge-Based Analysis for Detecting Key Signaling Events from Time-Series Phosphoproteomics Data
2015
·
Pengyi Yang
, Xiaofeng Zheng
, et al.
·
PLoS Computational Biology
·
39
PDF
Two Stationary Nonhomogeneous Markov Models of Nucleotide Sequence Evolution
2010
·
Vivek Jayaswal
, Lars S. Jermiin
, et al.
·
Systematic Biology
·
35
Identification of microRNAs with regulatory potential using a matched microRNA-mRNA time-course data
2009
·
V. Jayaswal
, M. Lutherborrow
, et al.
·
Nucleic Acids Research
·
35
PDF
Reducing Model Complexity of the General Markov Model of Evolution
2011
·
V. Jayaswal
, F. Ababneh
, et al.
·
Molecular Biology and Evolution
·
31
Community Assessment of the Predictability of Cancer Protein and Phosphoprotein Levels from Genomics and Transcriptomics
2020
·
Mi Yang
, Francesca Petralia
, et al.
·
Cell Systems
·
26
PDF
Identifying Optimal Models of Evolution
2016
·
Lars S. Jermiin
, Vivek Jayaswal
, et al.
·
Methods in molecular biology
·
24
Functional Divergence of the miRNA Transcriptome at the Onset of Drosophila Metamorphosis
2014
·
Shu-Dan Yeh
, Marcin von Grotthuss
, et al.
·
Molecular Biology and Evolution
·
16
PDF
Gene profiling reveals association between altered Wnt signaling and loss of T‐cell potential with age in human hematopoietic stem cells
2014
·
Melissa L. M. Khoo
, Stephen M. Carlin
, et al.
·
Aging Cell
·
16
PDF
Molecular interaction networks for the analysis of human disease: Utility, limitations, and considerations
2013
·
Sarah‐Jane Schramm
, Vivek Jayaswal
, et al.
·
PROTEOMICS
·
15
SeqVis: A Tool for Detecting Compositional Heterogeneity Among Aligned Nucleotide Sequences
2009
·
Lars Sommer Jermiin
, Joshua Wing Kei Ho
, et al.
·
Methods in molecular biology
·
15
Disturbed protein–protein interaction networks in metastatic melanoma are associated with worse prognosis and increased functional mutation burden
2013
·
Sarah‐Jane Schramm
, Simone S. Li
, et al.
·
Pigment Cell & Melanoma Research
·
11
Identification and stratification of systemic lupus erythematosus patients into two transcriptionally distinct clusters based on IFN-I signature
2021
·
Vineeta Shobha
, Anu Mohan
, et al.
·
Lupus
·
9
A species‐specific multigene family mediates differential sperm displacement in Drosophila melanogaster
2018
·
Vivek Jayaswal
, Jamie Jimenez
, et al.
·
Evolution
·
8
VAN: an R package for identifying biologically perturbed networks via differential variability analysis
2013
·
Vivek Jayaswal
, Sarah-Jane Schramm
, et al.
·
BMC Research Notes
·
7
PDF
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Works count:
68
Citation count:
983
H-index:
17
I10-index:
22
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