5 citations · 12 across the 35 of their papers we have counts for
4 papers · 1 filter
Informative Initialization and Kernel Selection Improves t-SNE for Biological Sequences
Prakash Chourasia, Sarwan Ali, Murray Patterson
The t-distributed stochastic neighbor embedding (t- SNE) is a method for interpreting high dimensional (HD) data by mapping each point to a low dimensional (LD) space (usually two-…
Reads2Vec: Efficient Embedding of Raw High-Throughput Sequencing Reads Data
Prakash Chourasia, Sarwan Ali, Simone Ciccolella +2
The massive amount of genomic data appearing for SARS-CoV-2 since the beginning of the COVID-19 pandemic has challenged traditional methods for studying its dynamics. As a result,…
Efficient Approximate Kernel Based Spike Sequence Classification
Sarwan Ali, Bikram Sahoo, Muhammad Asad Khan +3
Machine learning (ML) models, such as SVM, for tasks like classification and clustering of sequences, require a definition of distance/similarity between pairs of sequences. Severa…
Benchmarking Machine Learning Robustness in Covid-19 Genome Sequence Classification
Sarwan Ali, Bikram Sahoo, Alexander Zelikovskiy +2
The rapid spread of the COVID-19 pandemic has resulted in an unprecedented amount of sequence data of the SARS-CoV-2 genome -- millions of sequences and counting. This amount of da…