about
Identification of Influenza A/H7N9 virus infection-related human genes based on shortest paths in a virus-human protein interaction network.Automatic lung tumor segmentation on PET/CT images using fuzzy Markov random field model.Predicting A-to-I RNA editing by feature selection and random forest.A novel method of predicting protein disordered regions based on sequence features.A hybrid method for prediction and repositioning of drug Anatomical Therapeutic Chemical classes.Novel computational methods and tools in biomedicine and biopharmacy.A quantitative method for measurement of HL-60 cell apoptosis based on diffraction imaging flow cytometry technique.Prediction of protein amidation sites by feature selection and analysis.Computational Prediction of Protein Epsilon Lysine Acetylation Sites Based on a Feature Selection Method.A fuzzy feature fusion method for auto-segmentation of gliomas with multi-modality diffusion and perfusion magnetic resonance images in radiotherapy.Discriminating between deleterious and neutral non-frameshifting indels based on protein interaction networks and hybrid properties.Prediction of protein modification sites of gamma-carboxylation using position specific scoring matrices based evolutionary information.Computational prediction and analysis of protein γ-carboxylation sites based on a random forest method.Identification of Triple-Negative Breast Cancer Genes and a Novel High-Risk Breast Cancer Prediction Model Development Based on PPI Data and Support Vector MachinesIdentification of genes of four malignant tumors and a novel prediction model development based on PPI data and support vector machinesEpigenome-Wide Tobacco-Related Methylation Signature Identification and Their Multilevel Regulatory Network Inference for Lung Adenocarcinoma
P50
Q33736149-A920CB0C-7790-4E76-A4D4-D2DC1EA15970Q33759972-780AD65D-CD68-4443-B9E1-42935C93FCFBQ35359009-0AE542EF-4198-4B5A-810E-6564415EEF79Q36845929-E753837F-A0D9-46A5-B18D-4F69AD37F111Q38480114-FA70286C-14CE-4FAA-B620-B273B5A4903FQ41057468-BE98D94E-5CAA-40B9-8D0B-922B0D4B3283Q42738808-B453FBC1-6D54-4A2D-A792-8E475C85734CQ45759852-CA3C76BC-B67D-4C4E-A356-F9697B662CD2Q47930534-3A7FA82E-D668-4C38-90AD-A3D50B3F3EE3Q49830313-8C14CD0D-641A-4F1A-9146-AB5F27AE5789Q51034029-FA71F2E4-1D2E-40A8-9512-4B92C7FBE5BFQ51145844-AA379CD9-D5E9-4CE7-9731-656183DA07E5Q51330285-7D84705C-E350-4857-AC8B-8985AF4AE548Q64086696-A376B86B-1CDD-4BFA-9098-8E471303C1C2Q90911436-1C4B5556-760B-4AB4-B412-3B2DBD834D9AQ95264855-21F67F2C-E200-4915-A658-6E5495E6168F
P50
description
researcher ORCID: 0000-0002-1559-111X
@en
name
Ning Zhang
@ast
Ning Zhang
@en
Ning Zhang
@es
Ning Zhang
@nl
type
label
Ning Zhang
@ast
Ning Zhang
@en
Ning Zhang
@es
Ning Zhang
@nl
prefLabel
Ning Zhang
@ast
Ning Zhang
@en
Ning Zhang
@es
Ning Zhang
@nl
P106
P2456
181/2597-5
P31
P496
0000-0002-1559-111X