Junbai Wang - researchr alias

researchr

You are not signed in
Sign in
Sign up

Viewing Publication 1 - 16 from 16

2025

EpiMapper: A new tool for analyzing high-throughput sequencing from CUT&TagJenny Sofie Dragland, Gege Liu, Hilde Loge Nilsen, Yvonne Böttcher, Junbai Wang. cbm, 186:109692, 2025. [doi]

Integrated analysis of differential intra-chromosomal community interactions: A study of breast cancerZhihao Yao, Kun Fang, Gege Liu, Magnar Bjørås, Victor X. Jin, Junbai Wang. artmed, 167:103180, 2025. [doi]

2024

Predicting regulatory mutations and their target genes by new computational integrative analysis: A study of follicular lymphomaJunbai Wang, Mingyi Yang, Omer Ali, Jenny Sofie Dragland, Magnar Bjørås, Lóránt Farkas. cbm, 178:108787, 2024. [doi]

2022

abc4pwm: affinity based clustering for position weight matrices in applications of DNA sequence analysisOmer Ali, Amna Farooq, Mingyi Yang, Victor X. Jin, Magnar Bjørås, Junbai Wang. bmcbi, 23(1):83, 2022. [doi]

2015

Integrated study to infer dynamic protein-gene interactions in human p53 regulatory networksJunbai Wang, Qianqian Wu, Tianhai Tian. bibm 2015: 273-276 [doi]

2014

Quality versus accuracy: result of a reanalysis of protein-binding microarrays from the DREAM5 challenge by using BayesPI2 including dinucleotide interdependenceJunbai Wang. bmcbi, 15:289, 2014. [doi]

2010

The effect of prior assumptions over the weights in BayesPI with application to study protein-DNA interactions from ChIP-based high-throughput dataJunbai Wang. bmcbi, 11:412, 2010. [doi]

Quantitative model for inferring dynamic regulation of the tumour suppressor gene p53Junbai Wang, Tianhai Tian. bmcbi, 11:36, 2010. [doi]

2009

BayesPI - a new model to study protein-DNA interactions: a case study of condition-specific protein binding parameters for Yeast transcription factorsJunbai Wang, Morigen. bmcbi, 10:345, 2009. [doi]

2007

A new framework for identifying combinatorial regulation of transcription factors: A case study of the yeast cell cycleJunbai Wang. jbi, 40(6):707-725, 2007. [doi]

2005

New probabilistic graphical models for genetic regulatory networks studiesJunbai Wang, Leo Wang-Kit Cheung, Jan Delabie. jbi, 38(6):443-455, 2005. [doi]

2004

M-CGH: Analysing microarray-based CGH experimentsJunbai Wang, Leonardo A. Meza-Zepeda, Stine H. Kresse, Ola Myklebost. bmcbi, 5:74, 2004. [doi]

2003

Tumor classification and marker gene prediction by feature selection and fuzzy c-means clustering using microarray dataJunbai Wang, Trond Hellem Bø, Inge Jonassen, Ola Myklebost, Eivind Hovig. bmcbi, 4:60, 2003. [doi]

MGraph: graphical models for microarray data analysisJunbai Wang, Ola Myklebost, Eivind Hovig. bioinformatics, 19(17):2210-2211, 2003.

2002

MArray: analysing single, replicated or reversed microarray experimentsJunbai Wang, Vigdis Nygaard, Birgitte Smith-Sørensen, Eivind Hovig, Ola Myklebost. bioinformatics, 18(8):1139-1140, 2002.

Clustering of the SOM easily reveals distinct gene expression patterns: results of a reanalysis of lymphoma studyJunbai Wang, Jan Delabie, Hans Christian Aasheim, Erlend Smeland, Ola Myklebost. bmcbi, 3:36, 2002. [doi]

Sign in or sign up to see more results.

runs on WebDSL