Data

Spectral Data for Plasmodium

The University of Queensland
Dr Maggy Lord (Aggregated by) Dr Maggy Lord (Aggregated by)
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.48610/5ecd1e8&rft.title=Spectral Data for Plasmodium&rft.identifier=RDM ID: 78a96b50-89bc-11ee-b91c-116ce8766ba5&rft.publisher=The University of Queensland&rft.description=Spectra data of Plasmodium falciparum infected and uninfected blood grown in lab using invitro cultures Spectra data of Plasmodium Berghei infected and infected blood drawn from experimental mice Spectra data of Plasmodium berghei infected and uninfected mice collected non-invasively through the skin of experimental mice The datasets were used to develop machine learning algorithms for differentiating infected from uninfected samples in blood or non-invasively through the skin of mice and to predict parasitaemia of samples.&rft.creator=Dr Maggy Lord&rft.creator=Dr Maggy Lord&rft.date=2023&rft_rights= http://guides.library.uq.edu.au/deposit_your_data/terms_and_conditions&rft_subject=eng&rft_subject=Infectious diseases&rft_subject=Clinical sciences&rft_subject=BIOMEDICAL AND CLINICAL SCIENCES&rft.type=dataset&rft.language=English Access the data

Licence & Rights:

Other view details

Access:

Restrictions apply

Contact Information

[email protected]
School of Biological Sciences

Full description

Spectra data of Plasmodium falciparum infected and uninfected blood grown in lab using invitro cultures Spectra data of Plasmodium Berghei infected and infected blood drawn from experimental mice Spectra data of Plasmodium berghei infected and uninfected mice collected non-invasively through the skin of experimental mice The datasets were used to develop machine learning algorithms for differentiating infected from uninfected samples in blood or non-invasively through the skin of mice and to predict parasitaemia of samples.

Issued: 2023

This dataset is part of a larger collection

Click to explore relationships graph
Subjects

User Contributed Tags    

Login to tag this record with meaningful keywords to make it easier to discover

Other Information
Identifiers
ACN 633 798 857