Artificial intelligence, machine learning, and drug repurposing in cancer
Z Tanoli, M Vähä-Koskela… - Expert opinion on drug …, 2021 - Taylor & Francis
Introduction: Drug repurposing provides a cost-effective strategy to re-use approved drugs
for new medical indications. Several machine learning (ML) and artificial intelligence (AI) …
for new medical indications. Several machine learning (ML) and artificial intelligence (AI) …
A review of biomedical datasets relating to drug discovery: a knowledge graph perspective
Drug discovery and development is a complex and costly process. Machine learning
approaches are being investigated to help improve the effectiveness and speed of multiple …
approaches are being investigated to help improve the effectiveness and speed of multiple …
WikiPathways: connecting communities
Abstract WikiPathways (https://www. wikipathways. org) is a biological pathway database
known for its collaborative nature and open science approaches. With the core idea of the …
known for its collaborative nature and open science approaches. With the core idea of the …
Pathway analysis in metabolomics: Recommendations for the use of over-representation analysis
Over-representation analysis (ORA) is one of the commonest pathway analysis approaches
used for the functional interpretation of metabolomics datasets. Despite the widespread use …
used for the functional interpretation of metabolomics datasets. Despite the widespread use …
Metabolomics and multi-omics integration: a survey of computational methods and resources
As researchers are increasingly able to collect data on a large scale from multiple clinical
and omics modalities, multi-omics integration is becoming a critical component of …
and omics modalities, multi-omics integration is becoming a critical component of …
ConsensusPathDB 2022: molecular interactions update as a resource for network biology
A Kamburov, R Herwig - Nucleic acids research, 2022 - academic.oup.com
Molecular interactions are key drivers of biological function. Providing interaction resources
to the research community is important since they allow functional interpretation and network …
to the research community is important since they allow functional interpretation and network …
[HTML][HTML] Systems Biology and Bioinformatics approach to Identify blood based signatures molecules and drug targets of patient with COVID-19
Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection results in the
development of a highly contagious respiratory ailment known as new coronavirus disease …
development of a highly contagious respiratory ailment known as new coronavirus disease …
A reversible state of hypometabolism in a human cellular model of sporadic Parkinson's disease
Abstract Sporadic Parkinson's Disease (sPD) is a progressive neurodegenerative disorder
caused by multiple genetic and environmental factors. Mitochondrial dysfunction is one …
caused by multiple genetic and environmental factors. Mitochondrial dysfunction is one …
Pathway size matters: the influence of pathway granularity on over-representation (enrichment analysis) statistics
Background Enrichment or over-representation analysis is a common method used in
bioinformatics studies of transcriptomics, metabolomics, and microbiome datasets. The key …
bioinformatics studies of transcriptomics, metabolomics, and microbiome datasets. The key …
Primary cilia and SHH signaling impairments in human and mouse models of Parkinson's disease
S Schmidt, MD Luecken, D Trümbach… - Nature …, 2022 - nature.com
Parkinson's disease (PD) as a progressive neurodegenerative disorder arises from multiple
genetic and environmental factors. However, underlying pathological mechanisms remain …
genetic and environmental factors. However, underlying pathological mechanisms remain …