Murray Patterson
Georgia State University(US)
Publications by Year
Research Areas
Machine Learning in Bioinformatics, Genomics and Phylogenetic Studies, SARS-CoV-2 and COVID-19 Research, Gene expression and cancer classification, vaccines and immunoinformatics approaches
Most-Cited Works
- → W hats H ap : Weighted Haplotype Assembly for Future-Generation Sequencing Reads(2015)516 cited
- → WhatsHap: fast and accurate read-based phasing(2016)491 cited
- → Spike2Vec: An Efficient and Scalable Embedding Approach for COVID-19 Spike Sequences(2021)65 cited
- → PWM2Vec: An Efficient Embedding Approach for Viral Host Specification from Coronavirus Spike Sequences(2022)55 cited
- → Inferring cancer progression from Single-Cell Sequencing while allowing mutation losses(2020)52 cited
- → DeCoSTAR: Reconstructing the Ancestral Organization of Genes or Genomes Using Reconciled Phylogenies(2017)49 cited
- → Overlap graphs and de Bruijn graphs: data structures for de novogenome assembly in the big data era(2019)48 cited
- → Efficient analysis of COVID-19 clinical data using machine learning models(2022)37 cited
- → WhatsHap: Haplotype Assembly for Future-Generation Sequencing Reads(2014)36 cited
- → Effective and scalable clustering of SARS-CoV-2 sequences(2021)33 cited