Prediction of human <i>O-</i>linked glycosylation sites using stacked generalization and embeddings from pre-trained protein language model

Authors

Eduardo Blanco (ORCID: https://orcid.org/0000-0002-6776-2945)
Subash Chandra Pakhrin (ORCID: https://orcid.org/0009-0009-3310-2939)
Neha Chauhan (ORCID: https://orcid.org/0000-0003-1497-3359)
Moriah R. Beck (ORCID: https://orcid.org/0000-0003-1004-7147)
Jamie Upadhyaya
Salman Khan (ORCID: https://orcid.org/0000-0001-8732-3395)

Institutions

University of Arizona (US)
University of Houston - Downtown (US)
Wichita State University (US)
The University of Texas at Austin (US)

Publication Details

Journal: Bioinformatics
Published: 2024-10-24
DOI: https://doi.org/10.1093/bioinformatics/btae643
Citations: 12
Primary Topic: Machine Learning in Bioinformatics
Type: article
Field-Weighted Citation Impact: 2.81

Funders

Wichita State University

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

Prediction of human O-linked glycosylation sites using stacked generalization and embeddings from pre-trained protein language model

Eduardo Blanco, Subash Chandra Pakhrin, Neha Chauhan, Moriah R. Beck et al.

Oct 24, 2024

12 citations

Bioinformatics

Machine Learning in Bioinformatics

2.81

article

Prediction of human O-linked glycosylation sites using stacked generalization and embeddings from pre-trained protein language model

Eduardo Blanco, Subash Chandra Pakhrin, Neha Chauhan, Moriah R. Beck, Jamie Upadhyaya, Salman Khan

October 24, 2024article en

12 citations

Abstract

No abstract available for this paper.

BioinformaticsVol. 40(11)

University of Arizona (US), University of Houston - Downtown (US), Wichita State University (US), The University of Texas at Austin (US)

Wichita State University

Openalex Percentile: Top 9%

Machine Learning in Bioinformatics

2.81

DOI Open Access PDF OpenAlex

AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.