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Translating big data into better health thanks to major grant
[from the faculty of science newsroom, written by Rebecca Colless] Biological markers predicting pre-eclampsia – a pregnancy disorder that causes premature births and serious health problems …
lecao-lab.science.unimelb.edu.au/2023/12/19/translating-big-data-into-better-health-thanks-to-major-grant
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Dean’s Honours Award for PhD thesis to Dr Yiwen Wang
Our former student, Dr Yiwen (Eva) Wang was awarded the Dean’s Honours Award on November 22nd, an award that recognises excellence in a PhD thesis submitted …
lecao-lab.science.unimelb.edu.au/2023/12/04/deans-honours-award-for-phd-thesis-to-dr-yiwen-wang
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StableMate to select stable predictors in omics data
Variable selection in ‘omics data is essential to identify reliable markers of diseases, or shed light into molecular mechanisms. however, many variable selection methods in multivariate analysis (e.g. …
lecao-lab.science.unimelb.edu.au/2023/10/19/stablemate
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Metaphor: A workflow for streamlined assembly and binning of metagenomes
Genome-resolved metagenomics techniques aim to recover genomes from high-throughput sequencing data, and have led to unprecedented insight into microbial diversity, ecology, and evolution. However, data pipelines …
lecao-lab.science.unimelb.edu.au/2023/08/02/metaphor
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mixOmics shortlisted in prestigious Eureka Prize from the Australian Museum
[from the University of Melbourne News room] Software developed by the Faculty of Science’s Professor Kim-Anh Lê Cao (School of Mathematics and Statistics) has been shortlisted …
lecao-lab.science.unimelb.edu.au/2023/07/27/mixomics-shortlisted-in-prestigious-eureka-prize-from-the-australian-museum
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Self-paced online course May 22 – July 7 2023
Registrations for the third iteration of our online mixOmics course are now open! More details here. Feedback from our last iteration can be found here. If …
lecao-lab.science.unimelb.edu.au/2023/04/27/self-paced-online-mixomics-course-self-paced-online-course-may-2023
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Article: PLSDA-batch: a multivariate framework to correct for batch effects in microbiome data
It’s been a long journey! The method developed by my former PhD student Eva Yiwen Wang is out and ready to be used! Yiwen Wang, Kim-Anh …
lecao-lab.science.unimelb.edu.au/2023/01/20/article-plsda-batch
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Self-paced online mixOmics course Oct 31st – Nov 27 2022
Registrations for the second iteration of our online mixOmics course are now open! More details here.
lecao-lab.science.unimelb.edu.au/2022/08/14/self-paced-online-mixomics-course-oct-31st-nov-27-2022
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Review article: Statistical challenges in longitudinal microbiome data analysis
With Saritha Kodikara and Susan Ellul, we have published our latest review and benchmarked existing methods for longitudinal microbiome analysis on simulated data and a case …
lecao-lab.science.unimelb.edu.au/2022/07/27/longitudinal-microbiome-data-analysis
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Sincast: a computational framework to predict cell identities in single-cell transcriptomes using bulk atlases as references
Following up from our preliminary work on how to query cell types from transcriptomics bulk studies using bulk atlases, our talented student Yidi Deng has gone …
lecao-lab.science.unimelb.edu.au/2022/04/03/sincast
Number of posts found: 53
Recent Posts
- Translating big data into better health thanks to major grant
- Dean’s Honours Award for PhD thesis to Dr Yiwen Wang
- StableMate to select stable predictors in omics data
- Metaphor: A workflow for streamlined assembly and binning of metagenomes
- mixOmics shortlisted in prestigious Eureka Prize from the Australian Museum
- Self-paced online course May 22 – July 7 2023
- Article: PLSDA-batch: a multivariate framework to correct for batch effects in microbiome data
- Self-paced online mixOmics course Oct 31st – Nov 27 2022
- Review article: Statistical challenges in longitudinal microbiome data analysis
- Sincast: a computational framework to predict cell identities in single-cell transcriptomes using bulk atlases as references
- Outreach: visit at Melbourne Girls’ College
- Book: Multivariate Data Integration Using R: Methods and Applications with the mixOmics package
- Community-wide hackathons to identify central themes in single-cell multi-omics
- Superstars of STEM
- Postdoc position available
- A simple, scalable approach to building a cross-platform transcriptome atlas
- Integrating independent microbial studies to build predictive models of anaerobic digestion inhibition by ammonia and phenol
- Model-based joint visualization of multiple compositional omics datasets
- EMRI PhD scholarship available
- 3MT®: Win the war inside our gut by Yiwen Eva Wang
- Virtual workshop: Mathematical Frameworks for Integrative Analysis of Emerging Biological Data Types
- 20 min conversation on leadership and Antarctica
- Article published: Variable selection in microbiome compositional data analysis
- ARC funding to develop methods and protocols for multi-omics on single cells
- Advanced workshop at l’Oréal, 12-13 March
- Two seminars at INRIA
- CIRM, 2-6 March, Luminy FR
- mixOmics workshop UWA 3-5 Feb
- Article in the Pursuit: Getting to know your microbiome better
- Learnings from Homeward Bound and Antarctica
- Managing batch effects in microbiome studies
- Dean’s Award for Excellence in Research recognises pioneer in ‘omics and computational statistics
- Leadership Homewardbound program culminates with a trip to Antarctica!
- Kim-Anh Lê Cao won the Georgina Sweet Award 2019!
- New framework: timeOmics published
- EMBL-ABR webinar
- UoM Women in Maths Day: 29th August 2019 + Update (pursuit article and radio interview)
- VIC Biostat seminar
- WEHI special seminar series
- Winter School in Mathematical & Computational Biology 1-5 July 2019 Brisbane
- The powerful mind public event, June 26, UoM
- CellBench: a new package helping researchers to select the best tool for interpreting single-cell datasets.
- Empowering researchers to understand microbiome data for frontier projects
- Multi-omics data integration: method and ground-breaking neonate study
- Moran Medal from the Australian Academy of Science