C.W. Hu, Y.H. Qiu, S.Y. Yoo, A. Ligeralde, K.R. Coombes, A.A. Qutub+, S.M. Kornblau+, +co-senior authors (2018) Quantifying Proteomic Heterogeneities and Hallmarks in Acute Myelogenous Leukemia (AML), submitted.
A. Mahadevan, B.L. Long, C.W. Hu, D.T. Ryan, G.L. Britton, A. Ligeralde, A. Warmflash, J.T. Robinson, A.A. Qutub (2018) cytoNet: Network Analysis of Cell Communities, submitted. bioRxiv 055533
E.O. Kaynak, A.A. Qutub, O.Y. Celiktas (2018) Advances in Glioblastoma Multiforme Treatment: New Models for Nanoparticle Therapy, submitted.
F. Hoff, C.W. Hu, Y.H. Qiu, A. Ligeralde, E. de Bont, S.Y. Yoo, A.A. Qutub, T. Horton, S.M. Kornblau (2018) Recurrent Patterns of Protein Expression Signatures in Pediatric Acute Lymphoblastic Leukemia (ALL): Recognition and Therapeutic Guidance, submitted.
F. Hoff, C.W. Hu, Y.H. Qiu, S.Y. Yoo, E. de Bont, H. Mahmud, A.A. Qutub, T. Horton, S.M. Kornblau (2018) Recognition of Recurrent Protein Expression Patterns in Pediatric Acute Myeloid Leukemia (AML) Suggest New Therapeutic Targets, submitted.
A.D. van Dijk, C.W. Hu, E.S.J.M. de Bont, Y.H. Qiu, F.W. Hoff, S.Y. Yoo, K.R. Coombes, A.A. Qutub, S.M. Kornblau (2018) Histone Modification Patterns using RPPA-based Profiling Predict Outcome in Acute Myeloid Leukemia Patients, submitted.
C.W. Hu, H. Li, A.A. Qutub (2018) Shrinkage Clustering: A Fast and Size-Constrained Algorithm for Biomedical Applications, BMC Bioinformatics, in press.
C. Lantos, S.M. Kornblau, A.A. Qutub (2018) Quantitative Morphological and Cytological Analyses in Leukemia. In: Hematology: Latest Research & Clinical Advances, in press.
C.W. Hu, A.A. Qutub (2017) Proteomics in Leukemia. In: Myeloid Leukemia, in press.
A. Schultz, S. Mehta, F. Hoff, C.W. Hu, T. Horton, S.M. Kornblau, A.A. Qutub (2017) Identifying Cancer-Specific Metabolic Signatures Using Constraint-Based Models, Pacific Symposium on Biocomputing 22: 485-496.
A. Quintás-Cardama, C.W. Hu, A.A. Qutub, Y.H. Qiu, X. Zhang, S. Post, N. Zhang, K. Coombes, S. M. Kornblau (2017) p53 Pathway Dysfunction is Highly Prevalent in Acute Myeloid Leukemia Independent of TP53 Mutational Status, Leukemia 6: 1296-1305.
B. Long, H.Q. Li, T. Tang, N.E. Grandel, A. Mahadevan, A. Abrego, K. Balotin, S.Y. Wong, J. Soto, S. Li, A.A. Qutub (2017) GAIN: A Graphical Method to Automatically Analyze Individual Neurite Outgrowths, J Neuroscience Methods, in press.
A. Mahadevan, N. Grandel, J. Robinson, A.A. Qutub (2017) Living Neural Networks: Dynamic Network Analysis of Developing Neural Progenitor Cells, submitted. bioRxiv 055533
A developing human neuronal network stained for MAP2 (red) & nuclei (blue). A. Mahadevan, Qutub Lab, 2016
A Biowheel graph displaying results of semi-supervised clustering of protein expression levels in leukemia cells. C.W. Hu, Qutub Lab, 2016
C.W. Hu, A.J. Bisberg, A.A. Qutub (2017) Visually Guided Clustering in Biowheel: An Integration of Semi-Supervised Clustering with Interactive Visualization, submitted.