Hao Lin

Orcid: 0000-0001-6265-2862

Affiliations:
  • University of Electronic Science and Technology of China, Chengdu, China


According to our database1, Hao Lin authored at least 53 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
E-MuLA: An Ensemble Multi-Localized Attention Feature Extraction Network for Viral Protein Subcellular Localization.
Inf., March, 2024

Predicting coronary heart disease in Chinese diabetics using machine learning.
Comput. Biol. Medicine, February, 2024

2023
Identification of Key DNA methylation sites related to differentially expressed genes in Lung squamous cell carcinoma.
Comput. Biol. Medicine, December, 2023

iPADD: A Computational Tool for Predicting Potential Antidiabetic Drugs Using Machine Learning Algorithms.
J. Chem. Inf. Model., August, 2023

A comprehensive review of bioinformatics tools for chromatin loop calling.
Briefings Bioinform., March, 2023

A gender specific risk assessment of coronary heart disease based on physical examination data.
npj Digit. Medicine, 2023

2022
RNALocate v2.0: an updated resource for RNA subcellular localization with increased coverage and annotation.
Nucleic Acids Res., 2022

Towards a better prediction of subcellular location of long non-coding RNA.
Frontiers Comput. Sci., 2022

Analysis and modeling of myopia-related factors based on questionnaire survey.
Comput. Biol. Medicine, 2022

A deep learning model to identify gene expression level using cobinding transcription factor signals.
Briefings Bioinform., 2022

iLoc-miRNA: extracellular/intracellular miRNA prediction using deep BiLSTM with attention mechanism.
Briefings Bioinform., 2022

PSnoD: identifying potential snoRNA-disease associations based on bounded nuclear norm regularization.
Briefings Bioinform., 2022

iRice-MS: An integrated XGBoost model for detecting multitype post-translational modification sites in rice.
Briefings Bioinform., 2022

Detection of transcription factors binding to methylated DNA by deep recurrent neural network.
Briefings Bioinform., 2022

2021
Risk Prediction of Diabetes: Big data mining with fusion of multifarious physical examination indicators.
Inf. Fusion, 2021

iCarPS: a computational tool for identifying protein carbonylation sites by novel encoded features.
Bioinform., 2021

Design powerful predictor for mRNA subcellular location prediction in Homo sapiens.
Briefings Bioinform., 2021

Deep-Kcr: accurate detection of lysine crotonylation sites using deep learning method.
Briefings Bioinform., 2021

DeepYY1: a deep learning approach to identify YY1-mediated chromatin loops.
Briefings Bioinform., 2021

A computational platform to identify origins of replication sites in eukaryotes.
Briefings Bioinform., 2021

iDHS-Deep: an integrated tool for predicting DNase I hypersensitive sites by deep neural network.
Briefings Bioinform., 2021

2020
VisFeature: a stand-alone program for visualizing and analyzing statistical features of biological sequences.
Bioinform., 2020

DNA4mC-LIP: a linear integration method to identify N4-methylcytosine site in multiple species.
Bioinform., 2020

A comparison and assessment of computational method for identifying recombination hotspots in Saccharomyces cerevisiae.
Briefings Bioinform., 2020

Evaluation of different computational methods on 5-methylcytosine sites identification.
Briefings Bioinform., 2020

2019
Identifying Sigma70 Promoters with Novel Pseudo Nucleotide Composition.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019

Predicting protein structural classes for low-similarity sequences by evaluating different features.
Knowl. Based Syst., 2019

RIscoper: a tool for RNA-RNA interaction extraction from the literature.
Bioinform., 2019

iRNAD: a computational tool for identifying D modification sites in RNA sequence.
Bioinform., 2019

iTerm-PseKNC: a sequence-based tool for predicting bacterial transcriptional terminators.
Bioinform., 2019

Identify origin of replication in Saccharomyces cerevisiae using two-step feature selection technique.
Bioinform., 2019

i6mA-Pred: identifying DNA N6-methyladenine sites in the rice genome.
Bioinform., 2019

2018
iRNA-2OM: A Sequence-Based Predictor for Identifying 2′-O-Methylation Sites in <i>Homo sapiens</i>.
J. Comput. Biol., 2018

iLoc-lncRNA: predict the subcellular location of lncRNAs by incorporating octamer composition into general PseKNC.
Bioinform., 2018

2017
RNALocate: a resource for RNA subcellular localizations.
Nucleic Acids Res., 2017

Pro54DB: a database for experimentally verified sigma-54 promoters.
Bioinform., 2017

iDNA4mC: identifying DNA N4-methylcytosine sites based on nucleotide chemical properties.
Bioinform., 2017

Identify and analysis crotonylation sites in histone by using support vector machines.
Artif. Intell. Medicine, 2017

2016
BDB: biopanning data bank.
Nucleic Acids Res., 2016

Predicting bacteriophage proteins located in host cell with feature selection technique.
Comput. Biol. Medicine, 2016

2015
PseKNC-General: a cross-platform package for generating various modes of pseudo nucleotide compositions.
Bioinform., 2015

2014
A two stages sparse SVM training.
Int. J. Mach. Learn. Cybern., 2014

Phd7faster: Predicting Clones Propagating Faster from the pH.D.-7 phage Display peptide Library.
J. Bioinform. Comput. Biol., 2014

Training sparse SVM on the core sets of fitting-planes.
Neurocomputing, 2014

iNuc-PseKNC: a sequence-based predictor for predicting nucleosome positioning in genomes with pseudo k-tuple nucleotide composition.
Bioinform., 2014

2013
The rate of opening and closing of the DNA gate for topoisomerase II.
Theory Biosci., 2013

Identification of Antioxidants from Sequence Information Using Naïve Bayes.
Comput. Math. Methods Medicine, 2013

Naïve Bayes Classifier with Feature Selection to Identify Phage Virion Proteins.
Comput. Math. Methods Medicine, 2013

2012
MimoDB 2.0: a mimotope database and beyond.
Nucleic Acids Res., 2012

Identification of voltage-gated potassium channel subfamilies from sequence information using support vector machine.
Comput. Biol. Medicine, 2012

2011
Eukaryotic and prokaryotic promoter prediction using hybrid approach.
Theory Biosci., 2011

2009
Recognition of DNase I hypersensitive sites in multiple cell lines.
Int. J. Bioinform. Res. Appl., 2009

2007
Using pseudo amino acid composition to predict protein structural class: Approached by incorporating 400 dipeptide components.
J. Comput. Chem., 2007


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