Epigenetics in medicine and medical applications
Understanding epigenetic processes holds immense promise for medical applications. Advances in Machine Learning (ML) are critical to realize this promise. Previous studies used epigenetic data sets associated with the germline transmission of epigenetic transgenerational inheritance of disease and novel ML approaches to predict genome-wide locations of critical epimutations.
- Machine learning and epigenetics
- Machine learning in biological datasets
Related Conference of Epigenetics in medicine and medical applications
April 13-14, 2026
23rd International Conference on Breast Pathology and Cancer Diagnosis
Tokyo, Japan
Epigenetics in medicine and medical applications Conference Speakers
Recommended Sessions
- Advances in epigenetic technology
- Bioinformatics and biostatistics in epigenetic disease markers and targets
- Brain Tumor
- Chromatin analysis
- Chromatin domains and structure
- Computational modeling
- DNA & RNA sequencing
- Environmental Epigenetic Factor
- Epigenetics
- Epigenetics and epigenomics
- Epigenetics and Reproductive HealthÂ
- Epigenetics and stem cell reprogramming
- Epigenetics in bacteria
- Epigenetics in medicine and medical applications
- Epigenetics in psychology and psychiatry
- Epigenome and transcriptome editing
- Fragment analysis
- Functions and consequences: development and transgenerational
- Genome editing
- Measurement and mapping of genomic
- Neuro-oncology: focuses on cancers of brain.
- Nucleosome positioning
- Oncology
- Protein interaction analysis
- RNA transcripts, MicroRNAs, mRNA, and sRNAs
- Structural inheritance
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