[HTML][HTML] Integration strategies of multi-omics data for machine learning analysis
Increased availability of high-throughput technologies has generated an ever-growing
number of omics data that seek to portray many different but complementary biological …
number of omics data that seek to portray many different but complementary biological …
Applications of multi‐omics analysis in human diseases
Multi‐omics usually refers to the crossover application of multiple high‐throughput screening
technologies represented by genomics, transcriptomics, single‐cell transcriptomics …
technologies represented by genomics, transcriptomics, single‐cell transcriptomics …
Artificial intelligence in early drug discovery enabling precision medicine
Introduction: Precision medicine is the concept of treating diseases based on environmental
factors, lifestyles, and molecular profiles of patients. This approach has been found to …
factors, lifestyles, and molecular profiles of patients. This approach has been found to …
[HTML][HTML] Advances in proteomic and metabolomic profiling of neurodegenerative diseases
Proteomics and metabolomics are two emerging fields that hold promise to shine light on the
molecular mechanisms causing neurodegenerative diseases. Research in this area may …
molecular mechanisms causing neurodegenerative diseases. Research in this area may …
[HTML][HTML] Towards building a quantitative proteomics toolbox in precision medicine: a mini-review
Precision medicine as a framework for disease diagnosis, treatment, and prevention at the
molecular level has entered clinical practice. From the start, genetics has been an …
molecular level has entered clinical practice. From the start, genetics has been an …
[HTML][HTML] Functional genomics in stroke: current and future applications of iPSCs and gene editing to dissect the function of risk variants
A Granata - BMC cardiovascular disorders, 2023 - Springer
Stroke is an important disease with unmet clinical need. To uncover novel paths for
treatment, it is of critical importance to develop relevant laboratory models that may help to …
treatment, it is of critical importance to develop relevant laboratory models that may help to …
Intersection of network medicine and machine learning towards investigating the key biomarkers and pathways underlying amyotrophic lateral sclerosis: a systematic …
Background Network medicine is an emerging area of research that focuses on delving into
the molecular complexity of the disease, leading to the discovery of network biomarkers and …
the molecular complexity of the disease, leading to the discovery of network biomarkers and …
Integrated multi-omic data analysis and validation with yeast model show oxidative phosphorylation modulates protein aggregation in amyotrophic lateral sclerosis
R Sai Swaroop, PS Akhil, P Sai Sanwid… - Journal of …, 2023 - Taylor & Francis
Abstract Amyotrophic Lateral Sclerosis is a progressive, incurable amyloid aggregating
neurodegenerative disease involving the motor neurons. Identifying potential biomarkers …
neurodegenerative disease involving the motor neurons. Identifying potential biomarkers …
Integrated network pharmacology approach shows a potential role of Ginseng catechins and ginsenosides in modulating protein aggregation in Amyotrophic Lateral …
RS Swaroop, SS Pradhan, VMD Darshan… - 3 Biotech, 2022 - Springer
Amyotrophic lateral Sclerosis is an incurable, progressive neurodegenerative motor neuron
disease. The disease is characterized by protein aggregates. The symptoms include …
disease. The disease is characterized by protein aggregates. The symptoms include …
Mutant VAPB: culprit or innocent bystander of amyotrophic lateral sclerosis?
Nearly twenty years ago a mutation in the VAPB gene, resulting in a proline to serine
substitution (p. P56S), was identified as the cause of a rare, slowly progressing, familial form …
substitution (p. P56S), was identified as the cause of a rare, slowly progressing, familial form …