Genome interpretation using in silico predictors of variant impact

P Katsonis, K Wilhelm, A Williams, O Lichtarge - Human genetics, 2022 - Springer
Estimating the effects of variants found in disease driver genes opens the door to
personalized therapeutic opportunities. Clinical associations and laboratory experiments …

[HTML][HTML] A systematic review on machine learning approaches in the diagnosis and prognosis of rare genetic diseases

P Roman-Naranjo, AM Parra-Perez… - Journal of biomedical …, 2023 - Elsevier
Background The diagnosis of rare genetic diseases is often challenging due to the
complexity of the genetic underpinnings of these conditions and the limited availability of …

Prediction of cancer driver genes and mutations: the potential of integrative computational frameworks

M Nourbakhsh, K Degn, A Saksager… - Briefings in …, 2024 - academic.oup.com
The vast amount of available sequencing data allows the scientific community to explore
different genetic alterations that may drive cancer or favor cancer progression. Software …

Evolutionary Action–Machine Learning Model Identifies Candidate Genes Associated With Early‐Onset Coronary Artery Disease

D Shapiro, K Lee, J Asmussen… - Journal of the …, 2023 - Am Heart Assoc
Background Coronary artery disease is a primary cause of death around the world, with both
genetic and environmental risk factors. Although genome‐wide association studies have …

[HTML][HTML] Advances in computational methods for identifying cancer driver genes

Y Wang, B Zhou, J Ru, X Meng, Y Wang… - Mathematical …, 2023 - aimspress.com
Cancer driver genes (CDGs) are crucial in cancer prevention, diagnosis and treatment. This
study employed computational methods for identifying CDGs, categorizing them into four …

A systematic review on machine learning approaches in the diagnosis and prognosis of rare genetic diseases

PR Naranjo Varela, AM Parra Pérez… - 2023 - digibug.ugr.es
Background: The diagnosis of rare genetic diseases is often challenging due to the
complexity of the genetic underpinnings of these conditions and the limited availability of …

A systematic review on machine learning approaches in the diagnosis of rare genetic diseases

P Roman-Naranjo, AM Parra-Perez… - medRxiv, 2023 - medrxiv.org
Background The diagnosis of rare genetic diseases is often challenging due to the
complexity of the genetic underpinnings of these conditions and the limited availability of …

IMRDriver: coding and non-coding cancer driver genes identification based on network propagation

S Wang, XT Huang, KHK Chan… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
In cancer genomics, the identification of Cancer Driver Genes (CDGs) is a major scientific
interest. CDGs can be identified by numerous methods, however the false positive rate still …

Hybrid Prediction Model for Mechanical Properties of Low Alloy Steel Based on SVR-MLP

C Song - International Workshop on New Approaches for …, 2023 - Springer
As research into alloyed materials continues to advance there are different types of low-alloy
steel with different chemical compositions and organisations, so there is a need for more …