Stephen Piccolo

Stephen Piccolo

Brigham Young University

H-index: 22

North America-United States

About Stephen Piccolo

Stephen Piccolo, With an exceptional h-index of 22 and a recent h-index of 19 (since 2020), a distinguished researcher at Brigham Young University, specializes in the field of Bioinformatics, genomics, machine learning, cancer, data science.

His recent articles reflect a diverse array of research interests and contributions to the field:

Integrating Clinical Cancer and PTM Proteomics Data Identifies a Mechanism of ACK1 Kinase Activation

TidyGEO: preparing analysis-ready datasets from Gene Expression Omnibus

Evaluating a large language model’s ability to solve programming exercises from an introductory bioinformatics course

Annotated Compendium of 102 Breast Cancer Gene-Expression Datasets

Many bioinformatics programming tasks can be automated with ChatGPT

Identifying images in the biology literature that are problematic for people with a color-vision deficiency

Striving for the Indiscernible: Color Vision Deficiency and Scientific Figures

Figures in biological journal articles are often unfriendly to people with color vision deficiencies

Stephen Piccolo Information

University

Position

___

Citations(all)

2754

Citations(since 2020)

1971

Cited By

1596

hIndex(all)

22

hIndex(since 2020)

19

i10Index(all)

43

i10Index(since 2020)

33

Email

University Profile Page

Google Scholar

Stephen Piccolo Skills & Research Interests

Bioinformatics

genomics

machine learning

cancer

data science

Top articles of Stephen Piccolo

Integrating Clinical Cancer and PTM Proteomics Data Identifies a Mechanism of ACK1 Kinase Activation

Molecular Cancer Research

2024/2/1

TidyGEO: preparing analysis-ready datasets from Gene Expression Omnibus

Journal of Integrative Bioinformatics

2023/12/5

Evaluating a large language model’s ability to solve programming exercises from an introductory bioinformatics course

PLOS Computational Biology

2023/9/28

Annotated Compendium of 102 Breast Cancer Gene-Expression Datasets

bioRxiv

2023/9/24

Many bioinformatics programming tasks can be automated with ChatGPT

arXiv preprint arXiv:2303.13528

2023/3/7

Identifying images in the biology literature that are problematic for people with a color-vision deficiency

bioRxiv

2023

Striving for the Indiscernible: Color Vision Deficiency and Scientific Figures

2023

Stephen Piccolo
Stephen Piccolo

H-Index: 16

Figures in biological journal articles are often unfriendly to people with color vision deficiencies

2023

Stephen Piccolo
Stephen Piccolo

H-Index: 16

Custom compression algorithm shows potential to reduce tabular data by a magnitude of 17 using Huffman coding and n-grams

2023

Find Gene Expression Data Quickly

2023

Gender differences contribute to variability of serum lipid biomarkers for Alzheimer's disease

Biomarkers in Medicine

2022/10

The DNA methylation landscape of five pediatric-tumor types

PeerJ

2022/6/10

The ability to classify patients based on gene-expression data varies by algorithm and performance metric

PLoS computational biology

2022/3/11

SGK2, 14-3-3, and HUWE1 Cooperate to Control the Localization, Stability, and Function of the Oncoprotein PTOV1

Molecular Cancer Research

2022/2/1

trioPhaser: using Mendelian inheritance logic to improve genomic phasing of trios

BMC bioinformatics

2021/12

Simplifying the development of portable, scalable, and reproducible workflows

Elife

2021/10/13

Toward a methodology for evaluating DNA variants in nuclear families

Plos one

2021/10/8

Predicting drug sensitivity of cancer cells based on DNA methylation levels

Plos one

2021/9/10

A systematic review of datasets that can help elucidate relationships among gene expression, race, and immunohistochemistry-defined subtypes in breast cancer

2021/9/2

See List of Professors in Stephen Piccolo University(Brigham Young University)