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Murray Patterson

36 papers hereh-index 10285 citations77 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author32

Across the 34 of 36 papers where every author was matched, so the position is known.

fields
  • cs.LG23
  • q-bio.GN4
  • q-bio.QM4
  • q-bio.BM2
  • cs.CG1
  • cs.NE1
same name
  • Murray Patterson — 2 papers, h 1
  • Murray Patterson — 2 papers, h 0

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20212026
most citedVirus2Vec: Viral Sequence Classification Using Machine Learning

5 citations · 12 across the 35 of their papers we have counts for

collaborators
Showing q-bio.QMShow all

4 papers · 1 filter

q-bio.QM2026

EpiFormer: Learning Antigen-Antibody Interactions for Epitope Prediction via Geometric Deep Learning

Mansoor Ahmed, Huirong Chai, Haoxin Wang +2

Antibodies neutralize foreign antigens by binding to specific surface regions called epitopes. Computational epitope prediction is critical for understanding immune recognition and…

q-bio.QM2025

Sequence Analysis Using the Bezier Curve

Taslim Murad, Sarwan Ali, Murray Patterson

The analysis of sequences (e.g., protein, DNA, and SMILES string) is essential for disease diagnosis, biomaterial engineering, genetic engineering, and drug discovery domains. Conv…

q-bio.QM2023

PCD2Vec: A Poisson Correction Distance-Based Approach for Viral Host Classification

Sarwan Ali, Taslim Murad, Murray Patterson

Coronaviruses are membrane-enveloped, non-segmented positive-strand RNA viruses belonging to the Coronaviridae family. Various animal species, mainly mammalian and avian, are sever…

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,…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.