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BDSI Interactive Forum Series

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From the earliest days of statistics, data science and life science have been deeply intertwined. Biological data science carries this forward to a modern era in which the methods for collecting life science data are increasingly automated digital sensors. This deluge of data is transforming life science research across diverse scales and domains. Biological data science, broadly defined, is key to this transformation, from molecules to ecosystems, and across agriculture, medicine, biodiversity and bioengineering. 

This interactive biological data science forum series aims to transect domains, connecting diverse researchers with a common interest in biological data science. The purpose is to invigorate interactions among us through an inclusive (fortnightly) forum that promotes the exchange of knowledge. We strive to define biological data science in the broadest sense, encompassing theory, methodology and applications as well as biological data acquisition, visualisation and analysis.

Forums held weekly from 2-3.30pm on Thursdays at Robertson #46 (DNA Room S104).

To register a short presentation, please contact BDSI

All welcome to attend.

Past events

plant
10 Oct 2024 | 2 - 3:30pm

The study seeks to analyse the fiber content of plant samples using two different filter bags, which yield different results due to particle size differences. F57 filter bags, intended for larger particles, result in significant particle loss and produce less reliable Acid Detergent Fiber (ADF) readings. F58 filter bags, designed for finer particles, provide more accurate and reliable ADF measures.

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dna
26 Sep 2024 | 2 - 3:30pm

Masters Project. This research explores the potential of deep learning techniques to predict genetic mutations from Hematoxylin and Eosin (H&E) stained Whole Slide Images (WSIs) of tumor tissues.

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data
12 Sep 2024 | 2 - 3:30pm

Dr. Sehrish Kanwal will share her experience as a participant in the international rOpenSci Champions Program for 2024. Renowned for its cohort-based training, project development, and personalised mentorship, provides a platform for researchers to champion open science principles and practices.

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data
29 Aug 2024 | 2 - 3:30pm

Score matching, introduced by Hyvärinen (2005), is an estimation technique that circumvents the challenge of intractable normalizing constants in model densities.

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people
1 Aug 2024 | 2 - 3:30pm

Since the early twenty-first century, female life expectancy has consistently exceeded that of males worldwide.

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graph
4 Jul 2024 | 2 - 3:30pm

Deep graph matching techniques have shown promising results in recent years. In this work, we cast deep graph matching as a contrastive learning task and introduce a new objective function for contrastive mapping to exploit the relationships between matches and non-matches.

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education
20 Jun 2024 | 2 - 3:30pm

Explore an overview on several teaching initiatives and development in Statistics at Macquarie University over the last couple of years, including ASA DataFest, the revamping of the Statistics Major in the Bachelor of Science (BSc) program and if time permits, the establishment of the Alumni Connection Lead role within the school.

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Ai
6 Jun 2024 | 2 - 3:30pm

DEPLOY, an integrated deep learning framework that predicts DNA methylation from histopathology images, and subsequently classifies brain tumours into 10 major subtypes.

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r
23 May 2024 | 2 - 3:30pm

Do you have some code or functions in R that you would like to make and distribute as an R package? Refactoring your R code as modular functions or organising your functions as an R package is a useful endeavour for scientific dissemination.

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tooth
9 May 2024 | 2 - 3pm

Petra Vaiglova is from the School of Archaeology and Anthropology and will be talking about the analysis of tooth enamel to gain insight in to diets and climates in antiquity and beyond.

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advert
9 Feb 2024 | 12 - 1pm

Re-thinking the environment in landscape genomics

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data
7 Dec 2023 | 11am - 12pm

We have developed the first method for simultaneous tumour and organ-at-risk tracking during image-guided radiotherapy.

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