Sonika Tyagi

Sonika Tyagi

Monash University

H-index: 19

Oceania-Australia

About Sonika Tyagi

Sonika Tyagi, With an exceptional h-index of 19 and a recent h-index of 16 (since 2020), a distinguished researcher at Monash University, specializes in the field of Artificial Intelligence, Data Science, Computational Biology, Digital Health, RNA.

His recent articles reflect a diverse array of research interests and contributions to the field:

Navigating the Multiverse: A Hitchhiker's Guide to Selecting Harmonisation Methods for Multimodal Biomedical Data

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

EHR-ML: A generalisable pipeline for reproducible clinical outcomes using electronic health records

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

Linc2function: A Comprehensive Pipeline and Webserver for Long Non-Coding RNA (lncRNA) Identification and Functional Predictions Using Deep Learning Approaches

multiomics: A user-friendly multi-omics data harmonisation r pipeline

genomicBERT and data-free deep-learning model evaluation

Integrative omics identifies conserved and pathogen-specific responses of sepsis-causing bacteria

Sonika Tyagi Information

University

Position

and The Alfred Hospital Australia

Citations(all)

1717

Citations(since 2020)

1081

Cited By

963

hIndex(all)

19

hIndex(since 2020)

16

i10Index(all)

26

i10Index(since 2020)

24

Email

University Profile Page

Google Scholar

Sonika Tyagi Skills & Research Interests

Artificial Intelligence

Data Science

Computational Biology

Digital Health

RNA

Top articles of Sonika Tyagi

Navigating the Multiverse: A Hitchhiker's Guide to Selecting Harmonisation Methods for Multimodal Biomedical Data

2024/3/22

Sonika Tyagi
Sonika Tyagi

H-Index: 12

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

Computers in Biology and Medicine

2024/2/10

Levin Kuhlmann
Levin Kuhlmann

H-Index: 18

Sonika Tyagi
Sonika Tyagi

H-Index: 12

EHR-ML: A generalisable pipeline for reproducible clinical outcomes using electronic health records

medRxiv

2024

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

Journal of Biomedical Informatics

2023/11/1

Linc2function: A Comprehensive Pipeline and Webserver for Long Non-Coding RNA (lncRNA) Identification and Functional Predictions Using Deep Learning Approaches

Epigenomes

2023/9/15

multiomics: A user-friendly multi-omics data harmonisation r pipeline

F1000Research

2023/8/2

Tyrone Chen
Tyrone Chen

H-Index: 4

Sonika Tyagi
Sonika Tyagi

H-Index: 12

genomicBERT and data-free deep-learning model evaluation

bioRxiv

2023/6/1

Tyrone Chen
Tyrone Chen

H-Index: 4

Sonika Tyagi
Sonika Tyagi

H-Index: 12

Integrative omics identifies conserved and pathogen-specific responses of sepsis-causing bacteria

Nature Communications

2023/3/18

Preterm labor with and without chorioamnionitis is associated with activation of myometrial inflammatory networks: a comprehensive transcriptomic analysis

American journal of obstetrics and gynecology

2023/3/1

Learning meaningful latent space representations for patient risk stratification: Model development and validation for dengue and other acute febrile illness

Frontiers in Digital Health

2023/2/22

Biosynthetic constraints on amino acid synthesis at the base of the food chain may determine their use in higher-order consumer genomes

PLoS Genetics

2023/2/13

Sonika Tyagi
Sonika Tyagi

H-Index: 12

Book of Abstracts of the 1st Colloquium for Bioinformatics Learning, Education, and Training

F1000Research

2023/1/18

AI 2023: Advances in Artificial Intelligence: 36th Australasian Joint Conference on Artificial Intelligence, AI 2023, Brisbane, QLD, Australia, November 28–December 1, 2023 …

2023/11/26

Towards mouse genetic-specific RNA-sequencing read mapping

PLOS Computational Biology

2022/9/26

Transcriptomic analysis reveals myometrial topologically associated domains linked to the onset of human term labour

Molecular human reproduction

2022/3/1

Machine learning-based integration develops an immune-derived lncRNA signature for improving outcomes in colorectal cancer

Nature communications

2022/2/10

The biosynthetic costs of amino acids at the base of the food chain determine their use in higher-order consumer genomes

bioRxiv

2021/11/4

Sonika Tyagi
Sonika Tyagi

H-Index: 12

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

Briefings in bioinformatics

2021/11

Tyrone Chen
Tyrone Chen

H-Index: 4

Sonika Tyagi
Sonika Tyagi

H-Index: 12

An annotation-free format for representing multimodal data features

2021/7/25

Tyrone Chen
Tyrone Chen

H-Index: 4

Sonika Tyagi
Sonika Tyagi

H-Index: 12

A survey of current resources to study lncRNA-protein interactions

2021/6/8

Tyrone Chen
Tyrone Chen

H-Index: 4

Sonika Tyagi
Sonika Tyagi

H-Index: 12

See List of Professors in Sonika Tyagi University(Monash University)