Sonika Tyagi

According to our database, Sonika Tyagi authored at least 15 papers between 2013 and 2026.

Collaborative distances:

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

2026

A comparative evaluation of handling missing data points and modalities in electronic health records.

Aashish Bhandari, Sonika Tyagi

Int. J. Medical Informatics, 2026

2025

Refined causal graph structure learning via curvature for brain disease classification.

Falih Gozi Febrinanto, Adonia Simango, Chengpei Xu, Jingjing Zhou, Jiangang Ma, Sonika Tyagi, Feng Xia

Artif. Intell. Rev., August, 2025

EHR-ML: A data-driven framework for designing machine learning applications with electronic health records.

Yashpal Ramakrishnaiah, Nenad Macesic, Geoffrey I. Webb, Anton Y. Peleg, Sonika Tyagi

Int. J. Medical Informatics, 2025

Semantic Encoding in Medical LLMs for Vocabulary Standardisation.

Samuel Thomas Mainwood, Aashish Bhandari, Sonika Tyagi

Proceedings of the 2025 18th Health Informatics Knowledge Management Conference, 2025

2024

Uncovering co-regulatory modules and gene regulatory networks in the heart through machine learning-based analysis of large-scale epigenomic data.

Naima Vahab, Tarun Bonu, Levin Kuhlmann, Mirana Ramialison, Sonika Tyagi

Comput. Biol. Medicine, 2024

2023

EHR-QC: A streamlined pipeline for automated electronic health records standardisation and preprocessing to predict clinical outcomes.

Yashpal Ramakrishnaiah, Nenad Macesic, Geoffrey I. Webb, Anton Y. Peleg, Sonika Tyagi

J. Biomed. Informatics, November, 2023

2021

multiomics: A user-friendly multi-omics data harmonisation R pipeline.

Tyrone Chen, Al J. Abadi, Kim-Anh Lê Cao, Sonika Tyagi

F1000Research, 2021

A multi-modal data harmonisation approach for discovery of COVID-19 drug targets.

Tyrone Chen, Melcy Philip, Kim-Anh Lê Cao, Sonika Tyagi

Briefings Bioinform., 2021

2020

Towards a comprehensive pipeline to identify and functionally annotate long noncoding RNA (lncRNA).

Yashpal Ramakrishnaiah, Levin Kuhlmann, Sonika Tyagi

Comput. Biol. Medicine, 2020

2019

Advancing the international data science workforce through shared training and education.

John D. Van Horn, Sumiko Abe, José Luis Ambite, Teresa K. Attwood, Niall Beard, Louisa Bellis, Avnish Bhattrai, Alex A. T. Bui, Gully Burns, Lily Fierro, Jonathan Gordon, Jeffrey S. Grethe, Jeana Kamdar, Xiaoyu Lei, Kristina Lerman, Annette McGrath, Nicola J. Mulder, Caroline O'Driscoll, Crystal Stewart, Sonika Tyagi

F1000Research, 2019

Establishing a distributed national research infrastructure providing bioinformatics support to life science researchers in Australia.

Maria Victoria Schneider, Philippa C. Griffin, Sonika Tyagi, Madison Flannery, Saravanan Dayalan, Simon Gladman, Nathan S. Watson-Haigh, Philipp E. Bayer, Michael A. Charleston, Ira Cooke, Rob Cook, Richard J. Edwards, David Edwards, Dominique Gorse, Malcolm J. McConville, David Powell, Marc R. Wilkins, Andrew Lonie

Briefings Bioinform., 2019

2017

Four simple recommendations to encourage best practices in research software.

Rafael C. Jiménez, Mateusz Kuzak, Monther Alhamdoosh, Michelle Barker, Bérénice Batut, Mikael Borg, Salvador Capella-Gutiérrez, Neil P. Chue Hong, Martin Cook, Manuel Corpas, Madison Flannery, Leyla J. García, Josep Lluís Gelpí, Simon L. Gladman, Carole A. Goble, Montserrat González Ferreiro, Alejandra N. González-Beltrán, Philippa C. Griffin, Björn A. Grüning, Jonas Hagberg, Petr Holub, Rob W. W. Hooft, Jon C. Ison, Daniel S. Katz, Brane Leskosek, Federico López-Gómez, Luis J. Oliveira, David Mellor, Rowland Mosbergen, Nicola J. Mulder, Yasset Pérez-Riverol, Robert Pergl, Horst Pichler, Bernard J. Pope, Ferran Sanz, Maria Victoria Schneider, Victoria Stodden, Radoslaw Suchecki, Radka Svobodová Vareková, Harry-Anton Talvik, Ilian T. Todorov, Andrew E. Treloar, Sonika Tyagi, Maarten van Gompel, Daniel Vaughan, Allegra Via, Xiaochuan Wang, Nathan S. Watson-Haigh, Stephen Crouch

F1000Research, 2017

Best practice data life cycle approaches for the life sciences.

Philippa C. Griffin, Jyoti Khadake, Kate S. LeMay, Suzanna E. Lewis, Sandra E. Orchard, Andrew Pask, Bernard J. Pope, Ute Roessner, Keith Russell, Torsten Seemann, Andrew E. Treloar, Sonika Tyagi, Jeffrey H. Christiansen, Saravanan Dayalan, Simon Gladman, Sandra B. Hangartner, Helen L. Hayden, William W. H. Ho, Gabriel Keeble-Gagnère, Pasi K. Korhonen, Peter Neish, Priscilla R. Prestes, Mark F. Richardson, Nathan S. Watson-Haigh, Kelly L. Wyres, Neil D. Young, Maria Victoria Schneider

F1000Research, 2017

Towards an open, collaborative, reusable framework for sharing hands-on bioinformatics training workshops.

Nathan S. Watson-Haigh, Jerico Nico De Leon Revote, Radoslaw Suchecki, Sonika Tyagi, Susan M. Corley, Catherine A. Shang, Annette McGrath

Briefings Bioinform., 2017

2013

Next-generation sequencing: a challenge to meet the increasing demand for training workshops in Australia.

Nathan S. Watson-Haigh, Catherine A. Shang, Matthias Haimel, Myrto Kostadima, Remco Loos, Nandan Deshpande, Konsta Duesing, Xi Li, Annette McGrath, Sean McWilliam, Simon Michnowicz, Paula Moolhuijzen, Steve Quenette, Jerico Nico De Leon Revote, Sonika Tyagi, Maria Victoria Schneider

Briefings Bioinform., 2013