About: Kim-Anh Lê Cao

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An Entity of Type : wikibase:Item, within Data Space : wikidata.demo.openlinksw.com associated with source document(s)

biostatistician

Attributes	Values
rdf:type	Item
description	wetenschapper (nl) дослідник (uk) հետազոտող (hy) biostatistician (en)
rdfs:label	Kim-Anh Le Cao (es) Kim-Anh Lê Cao (en) Kim-Anh Lê Cao (nl) Kim-Anh Lê Cao (ast)
skos:prefLabel	Kim-Anh Le Cao (es) Kim-Anh Lê Cao (en) Kim-Anh Lê Cao (nl) Kim-Anh Lê Cao (ast)
name	Kim-Anh Le Cao (es) Kim-Anh Lê Cao (en) Kim-Anh Lê Cao (nl) Kim-Anh Lê Cao (ast)
instance of	wds:Q47538862-29E70CCC-434A-41D0-91C1-4EC8F9C8B462
described at URL	wds:Q47538862-D488F495-BB85-4C4C-9007-35178232EC19
instance of	Homo sapiens
described at URL	https://scienceandtechnologyaustralia.org.au/profile/kim-anh-le-cao/
award received	wds:Q47538862-126D1B69-B79C-4C48-98D3-6F7880BD2531 wds:Q47538862-D1F22A93-5431-4686-926F-145C6E74FE9B
award received	Moran Medal Superstars of STEM
Loop ID	wds:Q47538862-A554B912-BACB-44DD-AEAD-1D11B664EAFE
Loop ID	628066
doctoral advisor	wds:Q47538862-B56B8FFB-8BEE-49B1-B975-77ECF749BA55
doctoral advisor	Philippe C. Besse
skos:altLabel	Kim-Anh Le Cao (en) Kim-Anh Le Cao (nl) Kim-Anh Le Cao (ast)
occupation	wds:Q47538862-478D7D75-8E3D-4195-AD9C-02A0B235E568 wds:Q47538862-ec5414d9-457c-ecff-953f-4d59fdbc9a47
employer	wds:Q47538862-13564521-76EB-4B61-BD9D-51DA3EC3487C wds:Q47538862-3F4EDD86-04F3-4653-81AF-62A1383D21DB
sex or gender	wds:Q47538862-8ad12d6c-4a3c-4d6c-395f-c08fe4bb4467
ISNI	wds:Q47538862-2D9BCF6A-EAA0-4886-AC7D-56EE1C8334B4
VIAF ID	wds:Q47538862-85D41CDF-4F46-45C3-A197-47B1E6893F5D
DBLP author ID	wds:Q47538862-5343CDF4-8408-4256-8CC1-B926ED467868
IdRef ID	wds:Q47538862-2322DA07-620B-42D7-AE3B-B958A804F429
date of birth	wds:Q47538862-8DAF41CE-EF4C-4B9F-BDAE-8DAA39839EF8
WorldCat Identities ID (superseded)	wds:q47538862-8786463f-4786-f30b-ddf8-f8c1fe03002e
VIAF ID	http://viaf.org/viaf/202246041
DBLP author ID	https://dblp.org/pid/51/7236.rdf
IdRef ID	http://www.idref.fr/129618691/id
occupation	writer biostatistician
employer	University of Queensland University of Melbourne
sex or gender	female organism
ISNI	0000000139772065
VIAF ID	202246041
DBLP author ID	51/7236
IdRef ID	129618691
date of birth	1982-01-01 00:00:00Z (xsd:dateTime)
WorldCat Identities ID (superseded)	viaf-202246041
ORCID iD	wds:Q47538862-6EBB04A3-7746-4F95-BAEC-E766A4F9F086
Dimensions author ID	wds:Q47538862-75E75498-1E29-433C-8939-7DE7278B0CAF
ORCID iD	https://orcid.org/0000-0003-3923-1116
ORCID iD	0000-0003-3923-1116
Dimensions author ID	010050553171.56
ResearcherID	wds:Q47538862-294B3185-AE01-4BB9-8FD6-DBFDAFD702EE
ResearcherID	B-6637-2013
is owl:sameAs of	Kim-Anh Lê Cao
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q47538862
is author of	Visualising associations between paired 'omics' data sets Novel multivariate methods for integration of genomics and proteomics data: applications in a kidney transplant rejection study A sparse PLS for variable selection when integrating omics data Sparse PLS discriminant analysis: biologically relevant feature selection and graphical displays for multiclass problems Independent Principal Component Analysis for biologically meaningful dimension reduction of large biological data sets In vivo gene expression in granulosa cells during pig terminal follicular development. Conservation and divergence in Toll-like receptor 4-regulated gene expression in primary human versus mouse macrophages Genome-wide characterization of the routes to pluripotency. Quantitative gene profiling of long noncoding RNAs with targeted RNA sequencing Variable selection for generalized canonical correlation analysis. IL-6-driven STAT signalling in circulating CD4+ lymphocytes is a marker for early anticitrullinated peptide antibody-negative rheumatoid arthritis Citrullinated peptide dendritic cell immunotherapy in HLA risk genotype–positive rheumatoid arthritis patients Predicting qualitative phenotypes from microarray data - the Eadgene pig data set. Sparse canonical methods for biological data integration: application to a cross-platform study. A novel approach for biomarker selection and the integration of repeated measures experiments from two assays Determinants of body fat in infants of women with gestational diabetes mellitus differ with fetal sex. integrOmics: an R package to unravel relationships between two omics datasets A small set of extra-embryonic genes defines a new landmark for bovine embryo staging. A Linear Mixed Model Spline Framework for Analysing Time Course 'Omics' Data MixMC: A Multivariate Statistical Framework to Gain Insight into Microbial Communities A fine-scale dissection of the DNA double-strand break repair machinery and its implications for breast cancer therapy A retrospective analysis of clinical features of oral malignant and potentially malignant disorders with and without oral epithelial dysplasia YuGene: a simple approach to scale gene expression data derived from different platforms for integrated analyses A molecular classification of human mesenchymal stromal cells Human Hepatocellular Carcinomas with a Periportal Phenotype Have the Lowest Potential for Early Recurrence after Curative Resection Disease surveillance based on Internet-based linear models: an Australian case study of previously unmodeled infection diseases mixOmics: An R package for 'omics feature selection and multiple data integration Malignant transformation of oral epithelial dysplasia: a real-world evaluation of histopathologic grading. Ratios of T-cell immune effectors and checkpoint molecules as prognostic biomarkers in diffuse large B-cell lymphoma: a population-based study The T-cell Receptor Repertoire Influences the Tumor Microenvironment and Is Associated with Survival in Aggressive B-cell Lymphoma. MINT: a multivariate integrative method to identify reproducible molecular signatures across independent experiments and platforms Effect of Perioperative Opioids on Cancer-Relevant Circulating Parameters: Mu Opioid Receptor and Toll-Like Receptor 4 Activation Potential, and Proteolytic Profile. An mRNA atlas of G protein-coupled receptor expression during primary human monocyte/macrophage differentiation and lipopolysaccharide-mediated activation identifies targetable candidate regulators of inflammation. Integrative mixture of experts to combine clinical factors and gene markers.

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