Read about new discoveries & methods developed in the Qutub Lab
Selected Papers | Click on icon for link to paper | or click for publication list
Biological research and self-driving labs in deep space supported by artificial intelligence
L.M. Sanders, J.H. Yang, R.T. Scott, A.A. Qutub, H.G. Martin, D.C. Berrios, J.JA Hastings, J. Rask, G. Mackintosh, A.L. Hoarfrost, S.Chalk, J. Kalantari, K. Khezeli, E.L. Antonsen, Joel Babdor, R. Barker, S.E. Baranzini, A. Beheshti, G.M. Delgado-Aparicio, B.S. Glicksberg, C.S. Greene, M. Haendel, A.A. Hamid, P. Heller, D. Jamieson, K.J. Jarvis, S.V. Komarova, M. Komorowski, P. Kothiyal, A. Mahabal, U. Manor, C.E. Mason, M. Matar, G.I. Mias, J. Miller, J.G. Myers Jr, C. Nelson, J. Oribello, S.-m. Park, P. Parsons-Wingerter, R.K. Prabhu, R.J. Reynolds, A.Saravia-Butler, S. Saria, A. Sawyer, N.K. Singh, F. Soboczenski, M. Snyder, K. Soman, C.A. Theriot, D.V. Valen, K. Venkateswaran, L. Warren, L. Worthey, M. Zitnik, S.V. Costes
cytoNet: Network Analysis of Cell Communities
Living Neural Networks: Dynamic Network Analysis of
Developing Neural Progenitor Cells
A.S. Mahadevan, N.E. Grandel, A. Ligeralde, J.T. Robinson, K. Francis, A.A. Qutub
bioRxiv 055533
Health Signatures During COVID-19:
A Precision Fitness Case Study
A Novel Self-Organizing Embryonic Stem Cell System Reveals Signaling Logic Underlying the Patterning of Human Ectoderm
G. Britton, I. Heemskerk, R. Hodge, A.A. Qutub, A. Warmflash
Development, 2019, 146: dev179093
Highlighted by Development (Micro)patterning the Human Ectoderm (Oct 2019)
Image-based Classification of Tumor Type and Growth Rate using Machine Learning: a preclinical study
T.T. Tang, J. Zawaski, K. Francis, A.A. Qutub, M.W. Gaber
Scientific Reports, 2019, 9: 12529.
Visually Guided Clustering in Biowheel: An Integration of Semi-Supervised Clustering with Interactive Visualization
C.W. Hu, A.J. Bisberg, A.A. Qutub
bioRxiv 099739
Proteomic Profiling of Acute Promyelocytic Leukemia Identifies Two Protein Signatures Associated with Relapse
F.W. Hoff, C.W. Hu, A.A. Qutub, Y. Qiu, M.J. Hornbaker, C. Bueso-Ramos, H.A. Abbas, S.M. Post, E.S.J.M., de Bont, S.M. Kornblau
Proteomics – Clinical Applications 16: e1800133, 2019
Recurrent Patterns of Protein Expression Signatures in Pediatric Acute Lymphoblastic Leukemia (ALL): Recognition and Therapeutic Guidance
F. Hoff, C.W. Hu, Y.H. Qiu, A. Ligeralde, E. de Bont, S.Y. Yoo, A.A. Qutub, S.M. Kornblau, T. Horton
Molecular Cancer Research, 2018
Recognition of Recurrent Protein Expression Patterns in Pediatric Acute Myeloid Leukemia (AML) Suggest New Therapeutic Targets
F. Hoff, C.W. Hu, Y.H. Qiu, S.Y. Yoo, E. de Bont, H. Mahmud, A.A. Qutub, T. Horton, S.M. Kornblau
Molecular Cancer Research, 2018
Histone Modification Patterns using RPPA-based Profiling Predict Outcome in Acute Myeloid Leukemia Patients
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
Proteomics, 2018
Advances in Glioblastoma Multiforme Treatment: New Models for Nanoparticle Therapy
E.O. Kaynak, A.A. Qutub, O.Y. Celiktas
Frontiers in Physiology, 2018
Shrinkage Clustering: A Fast and Size-Constrained Algorithm for Biomedical Application
C.W. Hu, H. Li, A.A. Qutub
BMC Bioinformatics, 2018
Quantitative Morphological and Cytological Analyses in Leukemia
C. Lantos, S.M. Kornblau, A.A. Qutub
In: Hematology: Latest Research & Clinical Advances, 2018
Proteomics in Leukemia
C.W. Hu and A.A. Qutub
In: Myeloid Leukemia, 2018
