Dahlia Salman

According to our database, Dahlia Salman authored at least 4 papers between 2018 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

Fast and automated biomarker detection in breath samples with machine learning.

Angelika Skarysz, Dahlia Salman, Michael Eddleston, Martin Sykora, Eugénie Hunsicker, William H. Nailon, Kareen Darnley, Duncan B. McLaren, C. L. Paul Thomas, Andrea Soltoggio

CoRR, 2020

LabPipe: an extensible bioinformatics toolkit to manage experimental data and metadata.

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

BMC Bioinform., 2020

2019

LabPipe: an extensible informatics platform to streamline management of metabolomics data and metadata.

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

CoRR, 2019

2018

Convolutional neural networks for automated targeted analysis of raw gas chromatography-mass spectrometry data.

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

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018