Dahlia Salman

Publication Activity (10 Years)

Years Active: 2018-2020
Publications (10 Years): 4

Top Topics

Metadata Management

Mass Spectrometry Data

Convolutional Neural Networks

Biomarker Discovery

Top Venues

Publications

Angelika Skarysz, Dahlia Salman, Michael Eddleston, Martin Sykora, Eugénie Hunsicker, William H. Nailon, Kareen Darnley, Duncan B. McLaren, C. L. Paul Thomas, Andrea Soltoggio
Fast and automated biomarker detection in breath samples with machine learning. CoRR (2020)
Bo Zhao, Luke Bryant, Rebecca Cordell, Michael Wilde, Dahlia Salman, Dorota Ruszkiewicz, Wadah Ibrahim, Amisha Singapuri, Tim Coats, Erol Gaillard, Caroline Beardsmore, Toru Suzuki, Leong Ng, Neil Greening, C. L. Paul Thomas, Paul S. Monks, Christopher Brightling, Salman Siddiqui, Robert C. Free
LabPipe: an extensible bioinformatics toolkit to manage experimental data and metadata. BMC Bioinform. 21 (1) (2020)
Bo Zhao, Luke Bryant, Michael Wilde, Rebecca Cordell, Dahlia Salman, Dorota Ruszkiewicz, Wadah Ibrahim, Amisha Singapuri, Tim Coats, Erol Gaillard, Caroline Beardsmore, Toru Suzuki, Leong Ng, Neil Greening, C. L. Paul Thomas, Paul S. Monks, Christopher Brightling, Salman Siddiqui, Robert C. Free
LabPipe: an extensible informatics platform to streamline management of metabolomics data and metadata. CoRR (2019)
Angelika Skarysz, Yaser Alkhalifah, Kareen Darnley, Michael Eddleston, Yang Hu, Duncan B. McLaren, William H. Nailon, Dahlia Salman, Martin Sykora, C. L. Paul Thomas, Andrea Soltoggio
Convolutional neural networks for automated targeted analysis of raw gas chromatography-mass spectrometry data. IJCNN (2018)