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Email

dulari.hakamuwalekamlage@unimelb.edu.au

Credentials


Position
Honorary (Fellow)
Melbourne School of Population and Global Health - Centres and Institutes
Education
PhD
Queensland University of Technology
Bachelors Degree (Honours)
University of Peradeniya
ORCID

0000-0003-2465-9734

Dr Dulari Hakamuwa Lekamlage

Honorary (Fellow)
Melbourne School of Population and Global Health

9 Scholarly works
0 Projects

HIGHLIGHTS

  • 2024

    Journal article

    Dynamics and recognition of homeodomain containing protein-DNA complex of IRX4
    DOI: 10.1002/prot.26604
  • 2024

    Book Chapter

    Characterization of Posttranslationally Modified PHF-1 Tau Peptides Using Gaussian Accelerated Molecular Dynamics Simulation
    DOI: 10.1007/978-1-0716-3629-9_1
  • 2023

    Journal article

    Integrative competing endogenous RNA network analyses identify novel lncRNA and genes implicated in metastatic breast cancer
    DOI: 10.1038/s41598-023-29585-x
  • 2022

    Journal article

    Dehydroepiandrosterone Sulfate and Colorectal Cancer Risk: A Mendelian Randomization Analysis
    DOI: 10.1017/thg.2022.31
  • 2022

    Journal article

    A supervised machine learning approach identifies gene-regulating factor-mediated competing endogenous RNA networks in hormone-dependent cancers
    DOI: 10.1002/jcb.30300
  • 2021

    Journal article

    Identifying complex lncrna/pseudogene–mirna–mrna crosstalk in hormone-dependent cancers
    DOI: 10.3390/biology10101014
  • 2021

    Journal article

    Integrative Transcriptome-Wide Analyses Uncover Novel Risk-Associated MicroRNAs in Hormone-Dependent Cancers
    DOI: 10.3389/fgene.2021.716236
Dulari Hakamuwa Lekamlage

RECENT SCHOLARLY WORKS

  • 2020

    Journal article

    A Novel Approach for Predicting Yield of Seeds in Ficus Fruits Using A Non-Parametric Method
    DOI: 10.1080/15538362.2019.1616653
  • Thesis / Dissertation

    Computational and statistical analyses of omics data to advance understanding of hormone-dependent cancers
    DOI: 10.5204/thesis.eprints.237470

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