MArray: analysing single, replicated or reversed microarray experiments. - Junbai Wang; Vigdis Nygaard; Birgitte Smith-Sørensen; Eivind Hovig; Ola Myklebost (Bioinform., 2002)

Clustering of the SOM easily reveals distinct gene expression patterns: results of a reanalysis of lymphoma study. - Junbai Wang; Jan Delabie; Hans Christian Aasheim; Erlend Smeland; Ola Myklebost (BMC Bioinform., 2002)

MGraph: graphical models for microarray data analysis. - Junbai Wang; Ola Myklebost; Eivind Hovig (Bioinform., 2003)

Tumor classification and marker gene prediction by feature selection and fuzzy c-means clustering using microarray data. - Junbai Wang; Trond Hellem Bø; Inge Jonassen; Ola Myklebost; Eivind Hovig (BMC Bioinform., 2003)

M-CGH: Analysing microarray-based CGH experiments. - Junbai Wang; Leonardo A. Meza-Zepeda; Stine H. Kresse; Ola Myklebost (BMC Bioinform., 2004)

New probabilistic graphical models for genetic regulatory networks studies. - Junbai Wang; Leo Wang-Kit Cheung; Jan Delabie (J. Biomed. Informatics, 2005)

A new framework for identifying combinatorial regulation of transcription factors: A case study of the yeast cell cycle. - Junbai Wang (J. Biomed. Informatics, 2007)

BayesPI - a new model to study protein-DNA interactions: a case study of condition-specific protein binding parameters for Yeast transcription factors. - Junbai Wang; Morigen (BMC Bioinform., 2009)

The effect of prior assumptions over the weights in BayesPI with application to study protein-DNA interactions from ChIP-based high-throughput data. - Junbai Wang (BMC Bioinform., 2010)

Quantitative model for inferring dynamic regulation of the tumour suppressor gene p53. - Junbai Wang; Tianhai Tian (BMC Bioinform., 2010)

Quality versus accuracy: result of a reanalysis of protein-binding microarrays from the DREAM5 challenge by using BayesPI2 including dinucleotide interdependence. - Junbai Wang (BMC Bioinform., 2014)

Integrated study to infer dynamic protein-gene interactions in human p53 regulatory networks. - Junbai Wang; Qianqian Wu; Tianhai Tian (BIBM, 2015)

abc4pwm: affinity based clustering for position weight matrices in applications of DNA sequence analysis. - Omer Ali; Amna Farooq; Mingyi Yang; Victor X. Jin; Magnar Bjørås; Junbai Wang (BMC Bioinform., 2022)

Predicting regulatory mutations and their target genes by new computational integrative analysis: A study of follicular lymphoma. - Junbai Wang; Mingyi Yang; Omer Ali; Jenny Sofie Dragland; Magnar Bjørås; Lóránt Farkas (Comput. Biol. Medicine, 2024)

Integrated analysis of differential intra-chromosomal community interactions: A study of breast cancer. - Zhihao Yao 009; Kun Fang; Gege Liu; Magnar Bjørås; Victor X. Jin; Junbai Wang (Artif. Intell. Medicine, 2025)

EpiMapper: A new tool for analyzing high-throughput sequencing from CUT&Tag. - Jenny Sofie Dragland; Gege Liu; Hilde Loge Nilsen; Yvonne Böttcher; Junbai Wang (Comput. Biol. Medicine, 2025)