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researcher

S. Emrich

3 papers here

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

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • q-bio.MN2
  • stat.ML1

identity via Semantic Scholar / OpenAlex

most citedWeighted graphlets and deep neural networks for protein structure classification

3 citations · 3 across the 2 of their papers we have counts for

collaborators

3 papers

q-bio.MN2021

Dynamic network analysis improves protein 3D structural classification

Khalique Newaz, Jacob Piland, Patricia L. Clark +3

Protein structural classification (PSC) is a supervised problem of assigning proteins into pre-defined structural (e.g., CATH or SCOPe) classes based on the proteins' sequence or 3…

stat.ML2019★ 3 cited

Weighted graphlets and deep neural networks for protein structure classification

Hongyu Guo, Khalique Newaz, Scott Emrich +2

As proteins with similar structures often have similar functions, analysis of protein structures can help predict protein functions and is thus important. We consider the problem o…

q-bio.MN2019

Network analysis of synonymous codon usage

Khalique Newaz, Gabriel Wright, Jacob Piland +4

Most amino acids are encoded by multiple synonymous codons. For an amino acid, some of its synonymous codons are used much more rarely than others. Analyses of positions of such ra…

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