most citedComparative Analysis of Data Preprocessing Methods, Feature Selection Techniques and Machine Learning Models for Improved Classification and Regression Performance on Imbalanced Genetic Data

5 citations · 6 across the 2 of their papers we have counts for

collaborators

2 papers

q-bio.QM2024★ 5 cited

Comparative Analysis of Data Preprocessing Methods, Feature Selection Techniques and Machine Learning Models for Improved Classification and Regression Performance on Imbalanced Genetic Data

Arshmeet Kaur, Morteza Sarmadi

Rapid advancements in genome sequencing have led to the collection of vast amounts of genomics data. Researchers may be interested in using machine learning models on such data to…

q-bio.GN2024★ 1 cited

Predicting loss-of-function impact of genetic mutations: a machine learning approach

Arshmeet Kaur, Morteza Sarmadi

The innovation of next-generation sequencing (NGS) techniques has significantly reduced the price of genome sequencing, lowering barriers to future medical research; it is now feas…