Muhammad Ammar Malik

Postdoctoral Fellow, PhD Research Fellow

Academic article

Show author(s) (2022). Restricted maximum-likelihood method for learning latent variance components in gene expression data with known and unknown confounders. G3: Genes, Genomes, Genetics.

Academic literature review

Show author(s) (2023). Use of big data and machine learning algorithms to extract possible treatment targets in neurodevelopmental disorders. Pharmacology and Therapeutics. 11 pages.

“Use of big data and machine learning algorithms to extract possible treatment targets in neurodevelopmental disorders“ ,Pharmacology & Therapeutics, 2023.
“Restricted maximum-likelihood method for learning latent variance components in gene expression data with known and unknown confounders”, G3, 2022.
“Improved Majority Filtering Algorithm for Cleaning Class Label Noise in Supervised Learning”, IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2019.
“A Fractional Gradient Descent-Based RBF Neural Network”, Circuits, Systems, and Signal Processing, 2018.
“Euclidean Distance Based Label Noise Cleaning”, Ubiquitous and Future Networks (ICUFN), 2017 Ninth International Conference on. IEEE, 2017.
“Adaptive noise cancellation using q-LMS ”, Innovations in Electrical Engineering and Computational Technologies (ICIEECT), 2017 International Conference on. IEEE, 2017.
“FLMF: Fractional least mean fourth algorithm for channel estimation in non-Gaussian environment”, Information and Communication Technology Convergence (ICTC), 2017 International Conference on. IEEE 2017.

Fields of competence