Zhao-Chun Xu

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024
MSDSE: Predicting drug-side effects based on multi-scale features and deep multi-structure neural network.
Comput. Biol. Medicine, February, 2024

2023
DeepCCI: a deep learning framework for identifying cell-cell interactions from single-cell RNA sequencing data.
Bioinform., October, 2023

An interpretable single-cell RNA sequencing data clustering method based on latent Dirichlet allocation.
Briefings Bioinform., July, 2023

2022
MutCov: A pipeline for evaluating the effect of mutations in spike protein on infectivity and antigenicity of SARS-CoV-2.
Comput. Biol. Medicine, 2022

CBLRR: a cauchy-based bounded constraint low-rank representation method to cluster single-cell RNA-seq data.
Briefings Bioinform., 2022

Identification of alternative splicing-derived cancer neoantigens for mRNA vaccine development.
Briefings Bioinform., 2022

2021
iPTT(2 L)-CNN: A Two-Layer Predictor for Identifying Promoters and Their Types in Plant Genomes by Convolutional Neural Network.
Comput. Math. Methods Medicine, 2021

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

DLpTCR: an ensemble deep learning framework for predicting immunogenic peptide recognized by T cell receptor.
Briefings Bioinform., 2021

Global characterization of B cell receptor repertoire in COVID-19 patients by single-cell V(D)J sequencing.
Briefings Bioinform., 2021

Comprehensive analysis of partial methylation domains in colorectal cancer based on single-cell methylation profiles.
Briefings Bioinform., 2021

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

2017
Affine Collaborative Representation Based Classification for In-Air Handwritten Chinese Character Recognition.
Proceedings of the Advances in Multimedia Information Processing - PCM 2017, 2017

2016
iPTM-mLys: identifying multiple lysine PTM sites and their different types.
Bioinform., 2016

MQDF with a novel covariance matrix estimation and discriminant LSRC, which is better for in-air handwritten Chinese character recognition.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016


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