3 papers
cs.LG2022
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-…
q-bio.QM2022
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,…
cs.LG2022
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…