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Machine Learning in Bioinformatics

TopicLeading institutions, researchers & key papers

This cluster of papers focuses on the prediction of protein subcellular localization using various computational methods such as amino acid composition, machine learning algorithms like support vector machines, and the analysis of signal peptides and transmembrane topology. The research aims to improve the accuracy and reliability of predicting the subcellular location of proteins, which has significant implications for understanding protein function and cellular processes.

66
Works

How has Machine Learning in Bioinformatics's publication output changed over time?

ScholarIQpublication output · 2001–2025

Output grew100% over the shown period — from 1 works in 2001 to 2 in 2025.

1
1
2
3
1
1
1
1
2
2
2001200620082011201620182019202020232025

What are the most-cited papers on Machine Learning in Bioinformatics?

ScholarIQmost cited works
KaKs_Calculator: Calculating Ka and Ks Through Model Selection and Model Averaging
Zhang Zhang, Jun Li, Xiaoqian Zhao, Jun Wang, Gane Ka‐Shu Wong, Jun Yu
S155547894. 20061,327 CitationsOPEN ACCESS
Deep Learning and Its Applications in Biomedicine
Chensi Cao, Feng Liu, Hai Tan, Deshou Song, Wenjie Shu, Weizhong Li, Yiming Zhou, Xiaochen Bo, Zhi Xie
S155547894. 2018634 CitationsOPEN ACCESS
Deep Learning in Mining Biological Data
Mufti Mahmud, M. Shamim Kaiser, T.M. McGinnity, Amir Hussain
S4306400559. 2020442 CitationsOPEN ACCESS
Prediction of Antimicrobial Peptides Based on Sequence Alignment and Feature Selection Methods
Ping Wang, Le‐Le Hu, Guiyou Liu, Nan Jiang, Xiaoyun Chen, Jianyong Xu, Wen Zheng, Li Li, Ming Tan, Zugen Chen, Hui Song, Yu‐Dong Cai, Kuo‐Chen Chou
PLoS ONE. 2011203 CitationsOPEN ACCESS
GPS-Lipid: a robust tool for the prediction of multiple lipid modification sites
Yubin Xie, Yueyuan Zheng, Hongyu Li, Xiaotong Luo, Zhihao He, Shuo Cao, Yi Shi, Qi Zhao, Yu Xue, Zhixiang Zuo, Jian Ren
Scientific Reports. 2016161 CitationsOPEN ACCESS

Where is Machine Learning in Bioinformatics research published, and who funds it?

ScholarIQvenues & funding sources

TOP JOURNALS

S1555478941,961
S4306400559442
S112676551105

TOP FUNDERS

National Science Foundation
NIH
Wellcome Trust
European Research Council
Funder breakdown is a member featureSign up free to unlock

How much of the research on Machine Learning in Bioinformatics is open access?

ScholarIQopen access share
73%OPEN ACCESS
Gold
53%
Green
7%
Hybrid
7%
Bronze
7%
Closed
27%

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