eXplainable Artificial Intelligence (XAI) in aging clock models

A Kalyakulina, I Yusipov, A Moskalev… - Ageing Research …, 2023 - Elsevier
XAI is a rapidly progressing field of machine learning, aiming to unravel the predictions of
complex models. XAI is especially required in sensitive applications, eg in health care, when …

Chronological age prediction: developmental evaluation of DNA methylation-based machine learning models

H Fan, Q Xie, Z Zhang, J Wang, X Chen… - … in Bioengineering and …, 2022 - frontiersin.org
Epigenetic clock, a highly accurate age estimator based on DNA methylation (DNAm) level,
is the basis for predicting mortality/morbidity and elucidating the molecular mechanism of …

Evaluation of different computational methods for DNA methylation-based biological age

P Di Lena, C Sala, C Nardini - Briefings in Bioinformatics, 2022 - academic.oup.com
In recent years there has been a widespread interest in researching biomarkers of aging that
could predict physiological vulnerability better than chronological age. Aging, in fact, is one …

Using case based reasoning, in the student graduation prediction system (cbr)

U Rahardja - ADI Journal on Recent Innovation, 2022 - adi-journal.org
The performance of an educational institution is considered to have a negative impact due to
the high percentage of students who do not graduate on time. Therefore, the number of …

Dimensionality reduction using singular vectors

M Afshar, H Usefi - Scientific Reports, 2021 - nature.com
A common problem in machine learning and pattern recognition is the process of identifying
the most relevant features, specifically in dealing with high-dimensional datasets in …

Enrank: an ensemble method to detect pulmonary hypertension biomarkers based on feature selection and machine learning models

X Liu, Y Zhang, C Fu, R Zhang, F Zhou - Frontiers in Genetics, 2021 - frontiersin.org
Pulmonary hypertension (PH) is a common disease that affects the normal functioning of the
human pulmonary arteries. The peripheral blood mononuclear cells (PMBCs) served as an …

A polygenic stacking classifier revealed the complicated platelet transcriptomic landscape of adult immune thrombocytopenia

C Xu, R Zhang, M Duan, Y Zhou, J Bao, H Lu… - … Therapy-Nucleic Acids, 2022 - cell.com
Immune thrombocytopenia (ITP) is an autoimmune disease with the typical symptom of a low
platelet count in blood. ITP demonstrated age and sex biases in both occurrences and …

eXplainable Artificial Intelligence (XAI) in aging clock models

A Kalyakulina, I Yusipov, A Moskalev… - arXiv preprint arXiv …, 2023 - arxiv.org
eXplainable Artificial Intelligence (XAI) is a rapidly progressing field of machine learning,
aiming to unravel the predictions of complex models. XAI is especially required in sensitive …

Survival time prediction of breast cancer patients using feature selection algorithm crystall

S Liu, H Li, Q Zheng, L Yang, M Duan, X Feng… - IEEE …, 2021 - ieeexplore.ieee.org
Breast cancer is one of main causes of death for women. Most of the existing survival
analyses focus on the features' associations with whether the patients may survive five years …

A comprehensive comparison of residue-level methylation levels with the regression-based gene-level methylation estimations by ReGear

J Cai, Y Xu, W Zhang, S Ding, Y Sun… - Briefings in …, 2021 - academic.oup.com
Motivation: DNA methylation is a biological process impacting the gene functions without
changing the underlying DNA sequence. The DNA methylation machinery usually attaches …