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Stephen Piccolo
PeerJ Editor, Author & Reviewer
3,960 Points

Contributions by role

Author 270
Preprint Author 35
Reviewer 115
Editor 3,540

Contributions by subject area

Ecology
Data Mining and Machine Learning
Forestry
Spatial and Geographic Information Science
Bioinformatics
Genomics
Oncology
Pediatrics
Data Science
Computational Science
Computational Biology
Microbiology
Ecosystem Science
Neuroscience
Statistics
Genetics
Algorithms and Analysis of Algorithms
Artificial Intelligence
Digital Libraries
Human-Computer Interaction
Computer Education
Agricultural Science
Cell Biology
Molecular Biology
Respiratory Medicine
Medical Genetics
Women's Health
Immunology
Urology
Gynecology and Obstetrics
Infectious Diseases
Social Computing
Agents and Multi-Agent Systems
Computational Linguistics
Dentistry
Orthopedics
Otorhinolaryngology
Radiology and Medical Imaging
Science Policy
Diabetes and Endocrinology
Nephrology
Translational Medicine
Programming Languages
Geriatrics
Surgery and Surgical Specialties
Cognitive Disorders
Security and Privacy
Bioengineering
Software Engineering

Stephen R Piccolo

PeerJ Editor, Author & Reviewer

Summary

He earned a B.S. degree in Management Information Systems from BYU in 2001 and then worked as a software engineer for five years at Intel Corporation in Chandler, Arizona. In 2011, he received a PhD in Biomedical Informatics from the University of Utah (advised by Dr. Lewis J. Frey). From 2011-2014, he was postdoctoral researcher jointly at the University of Utah (Department of Pharmacology and Toxicology, advised by Dr. Andrea H. Bild) and Boston University School of Medicine (Division of Computational Biomedicine, advised by Dr. W. Evan Johnson). He teaches classes in biology and bioinformatics.

The Piccolo lab's overarching goal is to use advanced computational approaches to act on large and complex data sets in an interdisciplinary approach. As such, the lab integrates knowledge and techniques across biology, computer science, medicine, and statistics using "dry lab biology'' to take advantage of massive, publicly available databases.

Bioinformatics Computational Biology Computational Science Computer Education Data Mining & Machine Learning Data Science

Editorial Board Member

PeerJ - the Journal of Life & Environmental Sciences
PeerJ Computer Science

Past or current institution affiliations

Brigham Young University

Work details

Associate Professor

Brigham Young University
September 2014
Biology
Research and teach in the field of bioinformatics.

Websites

  • Lab website
  • Google Scholar

PeerJ Contributions

  • Articles 2
  • Preprints 1
  • Edited 19
  • Reviewed 2
June 10, 2022
The DNA methylation landscape of five pediatric-tumor types
Alyssa C. Parker, Badí I. Quinteros, Stephen R. Piccolo
https://doi.org/10.7717/peerj.13516 PubMed 35707123
February 28, 2019
Remote sensing tree classification with a multilayer perceptron
G Rex Sumsion, Michael S. Bradshaw, Kimball T. Hill, Lucas D.G. Pinto, Stephen R. Piccolo
https://doi.org/10.7717/peerj.6101 PubMed 30842894
June 1, 2018 - Version: 1
Remote sensing tree classification with a multilayer perceptron
G Rex Sumsion, Michael S Bradshaw, Kimball T Hill, Lucas D G Pinto, Stephen R Piccolo
https://doi.org/10.7287/peerj.preprints.26971v1

Academic Editor on

July 11, 2025
An R package for survival-based gene set enrichment analysis
Xiaoxu Deng, Jeffrey Thompson
https://doi.org/10.7717/peerj.19489 PubMed 40661900
April 2, 2025
The effects of mismatched train and test data cleaning pipelines on regression models: lessons for practice
James Nevin, Michael Lees, Paul Groth
https://doi.org/10.7717/peerj-cs.2793
February 27, 2024
Does it pay to pay? A comparison of the benefits of open-access publishing across various sub-fields in biology
Amanda D. Clark, Tanner C. Myers, Todd D. Steury, Ali Krzton, Julio Yanes, Angela Barber, Jacqueline Barry, Subarna Barua, Katherine Eaton, Devadatta Gosavi, Rebecca Nance, Zahida Pervaiz, Chidozie Ugochukwu, Patricia Hartman, Laurie S. Stevison
https://doi.org/10.7717/peerj.16824 PubMed 38436005
December 11, 2023
Predicting the final grade using a machine learning regression model: insights from fifty percent of total course grades in CS1 courses
Carlos Giovanny Hidalgo Suarez, Jose Llanos, Víctor A. Bucheli
https://doi.org/10.7717/peerj-cs.1689
May 29, 2023
Python code smells detection using conventional machine learning models
Rana Sandouka, Hamoud Aljamaan
https://doi.org/10.7717/peerj-cs.1370
February 27, 2023
Analysis of urine Raman spectra differences from patients with diabetes mellitus and renal pathologies
Varun Kavuru, Ryan S. Senger, John L. Robertson, Devasmita Choudhury
https://doi.org/10.7717/peerj.14879 PubMed 36874959
February 21, 2023
Nanopublication-based semantic publishing and reviewing: a field study with formalization papers
Cristina-Iulia Bucur, Tobias Kuhn, Davide Ceolin, Jacco van Ossenbruggen
https://doi.org/10.7717/peerj-cs.1159
May 5, 2022
Text mining for identification of biological entities related to antibiotic resistant organisms
Kelle Fortunato Costa, Fabrício Almeida Araújo, Jefferson Morais, Carlos Renato Lisboa Frances, Rommel T. J. Ramos
https://doi.org/10.7717/peerj.13351 PubMed 35539017
March 23, 2022
RapidHRV: an open-source toolbox for extracting heart rate and heart rate variability
Peter A. Kirk, Alexander Davidson Bryan, Sarah N. Garfinkel, Oliver J. Robinson
https://doi.org/10.7717/peerj.13147 PubMed 35345583
February 21, 2022
Current approaches for executing big data science projects—a systematic literature review
Jeffrey S. Saltz, Iva Krasteva
https://doi.org/10.7717/peerj-cs.862
December 21, 2021
Who participates in computer science education studies? A literature review on K-12 subjects
Anna van der Meulen, Felienne Hermans, Efthimia Aivaloglou, Marlies Aldewereld, Bart Heemskerk, Marileen Smit, Alaaeddin Swidan, Charlotte Thepass, Shirley de Wit
https://doi.org/10.7717/peerj-cs.807
July 22, 2021
Detection of genomic regions associated malformations in newborn piglets: a machine-learning approach
Siroj Bakoev, Aleksei Traspov, Lyubov Getmantseva, Anna Belous, Tatiana Karpushkina, Olga Kostyunina, Alexander Usatov, Tatiana V. Tatarinova
https://doi.org/10.7717/peerj.11580 PubMed 34327051
July 20, 2021
causalizeR: a text mining algorithm to identify causal relationships in scientific literature
Francisco J. Ancin-Murguzur, Vera H. Hausner
https://doi.org/10.7717/peerj.11850 PubMed 34322328
May 17, 2021
Machine learning in dental, oral and craniofacial imaging: a review of recent progress
Ruiyang Ren, Haozhe Luo, Chongying Su, Yang Yao, Wen Liao
https://doi.org/10.7717/peerj.11451 PubMed 34046262
February 25, 2021
Comparison of machine learning approaches for enhancing Alzheimer’s disease classification
Qi Li, Mary Qu Yang
https://doi.org/10.7717/peerj.10549 PubMed 33665002
February 16, 2021
Predicting lung adenocarcinoma disease progression using methylation-correlated blocks and ensemble machine learning classifiers
Xin Yu, Qian Yang, Dong Wang, Zhaoyang Li, Nianhang Chen, De-Xin Kong
https://doi.org/10.7717/peerj.10884 PubMed 33628643
August 4, 2020
Convolutional neural networks to automate the screening of malaria in low-resource countries
Oliver S. Zhao, Nikhil Kolluri, Anagata Anand, Nicholas Chu, Ravali Bhavaraju, Aditya Ojha, Sandhya Tiku, Dat Nguyen, Ryan Chen, Adriane Morales, Deepti Valliappan, Juhi P. Patel, Kevin Nguyen
https://doi.org/10.7717/peerj.9674 PubMed 32832279
July 6, 2020
Predicting the effect of variants on splicing using Convolutional Neural Networks
Thanyathorn Thanapattheerakul, Worrawat Engchuan, Jonathan H. Chan
https://doi.org/10.7717/peerj.9470 PubMed 32704450
March 24, 2020
Pan-cancer systematic identification of lncRNAs associated with cancer prognosis
Matthew Ung, Evelien Schaafsma, Daniel Mattox, George L. Wang, Chao Cheng
https://doi.org/10.7717/peerj.8797 PubMed 32231885

Signed reviews submitted for articles published in PeerJ Note that some articles may not have the review itself made public unless authors have made them open as well.

August 30, 2017
Atropos: specific, sensitive, and speedy trimming of sequencing reads
John P. Didion, Marcel Martin, Francis S. Collins
https://doi.org/10.7717/peerj.3720 PubMed 28875074
September 24, 2015
The impact of Docker containers on the performance of genomic pipelines
Paolo Di Tommaso, Emilio Palumbo, Maria Chatzou, Pablo Prieto, Michael L. Heuer, Cedric Notredame
https://doi.org/10.7717/peerj.1273 PubMed 26421241