Effective utilisation of influence maximization technique for the identification of significant nodes in breast cancer gene networks

Identification of Essential Proteins Based on Improved HITS Algorithm

(2019) Xiujuan Lei et al.   Genes

Identification of the key pathways and genes involved in HER2-positive breast cancer with brain metastasis

(2019) Xin Lu et al.   PATHOLOGY RESEARCH AND PRACTICE

Role of SUMOylation in differential ERα transcriptional repression by tamoxifen and fulvestrant in breast cancer cells

(2018) Tatiana Traboulsi et al.   ONCOGENE

BCMA (TNFRSF17) Induces APRIL and BAFF Mediated Breast Cancer Cell Stemness

(2018) Vasiliki Pelekanou et al.   Frontiers in Oncology

United Complex Centrality for Identification of Essential Proteins from PPI Networks

(2017) Min Li et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

SNAP23 promotes the malignant process of ovarian cancer

(2016) Qi Sun et al.   Journal of Ovarian Research

A reliable neighbor-based method for identifying essential proteins by integrating gene expressions, orthology, and subcellular localization information

(2016) Min Li et al.   TSINGHUA SCIENCE AND TECHNOLOGY

A Topology Potential-Based Method for Identifying Essential Proteins from PPI Networks

(2015) Min Li et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

Constitutive activation of STAT3 in breast cancer cells: A review

(2015) Kasturi Banerjee et al.   INTERNATIONAL JOURNAL OF CANCER

Discovering essential proteins based on PPI network and protein complex

(2015) Jun Ren et al.   International Journal of Data Mining and Bioinformatics

Amyloid-β precursor protein promotes cell proliferation and motility of advanced breast cancer

(2014) Seunghwan Lim et al.   BMC CANCER

Prediction of Essential Proteins Based on Overlapping Essential Modules

(2014) Bihai Zhao et al.   IEEE TRANSACTIONS ON NANOBIOSCIENCE

Predicting Essential Proteins Based on Weighted Degree Centrality

(2014) Xiwei Tang et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

SNAP23, Syntaxin4, and vesicle-associated membrane protein 7 (VAMP7) mediate trafficking of membrane type 1–matrix metalloproteinase (MT1-MMP) during invadopodium formation and tumor cell invasion

(2014) Karla C. Williams et al.   MOLECULAR BIOLOGY OF THE CELL

Integrative Gene Network Construction to Analyze Cancer Recurrence Using Semi-Supervised Learning

(2014) Chihyun Park et al.   PLoS One

Regulation of p53 Level by UBE4B in Breast Cancer

(2014) Ying Zhang et al.   PLoS One

The gene regulatory network for breast cancer: integrated regulatory landscape of cancer hallmarks

(2014) Frank Emmert-Streib et al.   Frontiers in Genetics

Amyloid precursor protein in human breast cancer: An androgen-induced gene associated with cell proliferation

(2013) Kiyoshi Takagi et al.   CANCER SCIENCE

Iteration method for predicting essential proteins based on orthology and protein-protein interaction networks

(2012) Wei Peng et al.   BMC Systems Biology

HINT: High-quality protein interactomes and their applications in understanding human disease

(2012) Jishnu Das et al.   BMC Systems Biology

A new essential protein discovery method based on the integration of protein-protein interaction and gene expression data

(2012) Min Li et al.   BMC Systems Biology

IDENTIFICATION OF ESSENTIAL PROTEINS FROM WEIGHTED PROTEIN–PROTEIN INTERACTION NETWORKS

(2012) MIN LI et al.   Journal of Bioinformatics and Computational Biology

Integrative gene network construction for predicting a set of complementary prostate cancer genes

(2011) Jaegyoon Ahn et al.   BIOINFORMATICS

Identification of Essential Proteins Based on Edge Clustering Coefficient

(2011) Jianxin Wang et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

A Shapley Value-Based Approach to Discover Influential Nodes in Social Networks

(2010) Ramasuri Narayanam et al.   IEEE Transactions on Automation Science and Engineering

WGCNA: an R package for weighted correlation network analysis

(2008) Peter Langfelder et al.   BMC BIOINFORMATICS