Selected Research Articles from the 2019 International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC)

[1]  Chanaka Bulathsinghalage,et al.  Network-based method for regions with statistically frequent interchromosomal interactions at single-cell resolution , 2020, BMC Bioinformatics.

[2]  Jianhua Ruan,et al.  Robust edge-based biomarker discovery improves prediction of breast cancer metastasis , 2020, BMC Bioinformatics.

[3]  Marek Kimmel,et al.  Analysis of two mechanisms of telomere maintenance based on the theory of g-Networks and stochastic automata networks , 2020, BMC Genomics.

[4]  John J. Tyson,et al.  Cell cycle control and environmental response by second messengers in Caulobacter crescentus , 2020, BMC Bioinformatics.

[5]  Peng Qiu,et al.  Leveraging TCGA gene expression data to build predictive models for cancer drug response , 2020, BMC Bioinformatics.

[6]  Oliver Bonham-Carter,et al.  Systematic Normalization with Multiple Housekeeping Genes for the Discovery of Genetic Dependencies in Cancer , 2020, bioRxiv.

[7]  Haris Vikalo,et al.  ComHapDet: a spatial community detection algorithm for haplotype assembly , 2019, BMC Genomics.

[8]  Tugba Onal Suzek,et al.  Analysis of genomic and transcriptomic variations as prognostic signature for lung adenocarcinoma , 2019, BMC Bioinformatics.

[9]  Baris E. Suzek,et al.  Meta-analysis of Gene Expression in Neurodegenerative Diseases Reveals Patterns in GABA Synthesis and Heat Stress Pathways , 2019, 1909.07469.

[10]  Xiaoning Qian,et al.  Bayesian gamma-negative binomial modeling of single-cell RNA sequencing data , 2019, BMC Genomics.

[11]  Evan A. Clayton,et al.  Abstract 676: Leveraging TCGA gene expression data to build predictive models for cancer drug response , 2019, Bioinformatics, Convergence Science, and Systems Biology.

[12]  Tamer Kahveci,et al.  Selected research articles from the 2018 International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC) , 2019, BMC Bioinformatics.

[13]  Stefano Lonardi,et al.  DeeplyEssential: a deep neural network for predicting essential genes in microbes , 2019, BMC Bioinformatics.

[14]  Sang-Mun Chi,et al.  Biclustering analysis of transcriptome big data identifies condition-specific microRNA targets , 2019, Nucleic acids research.

[15]  Peng Qiu,et al.  GLaMST: grow lineages along minimum spanning tree for b cell receptor sequencing data , 2018, BMC Genomics.

[16]  Tamer Kahveci,et al.  Selected research articles from the 2017 International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC) , 2018, BMC Bioinformatics.

[17]  Tamer Kahveci,et al.  Selected research articles from the 2016 International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC) , 2017, BMC Bioinformatics.