Kimberly Glass

According to our database, Kimberly Glass authored at least 16 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Partial correlation network analysis identifies coordinated gene expression within a regional cluster of COPD genome-wide association signals.

Michele Gentili, Kimberly Glass, Enrico Maiorino, Brian D. Hobbs, Zhonghui Xu, Peter J. Castaldi, Michael H. Cho, Craig P. Hersh, Dandi Qiao, Jarrett D. Morrow, Vincent J. Carey, John Platig, Edwin K. Silverman

PLoS Comput. Biol., 2024

BONOBO: Bayesian Optimized Sample-Specific Networks Obtained by Omics Data.

Enakshi Saha, Viola Fanfani, Panagiotis Mandros, Marouen Ben Guebila, Jonas Fischer, Katherine H. Shutta, Kimberly Glass, Dawn L. DeMeo, Camila Miranda Lopes-Ramos, John Quackenbush

Proceedings of the Research in Computational Molecular Biology, 2024

2023

Adjustment of spurious correlations in co-expression measurements from RNA-Sequencing data.

Ping-Han Hsieh, Camila Miranda Lopes-Ramos, Manuela Zucknick, Geir Kjetil Sandve, Kimberly Glass, Marieke L. Kuijjer

Bioinform., October, 2023

2022

GRAND: a database of gene regulatory network models across human conditions.

Marouen Ben Guebila, Camila Miranda Lopes-Ramos, Deborah A. Weighill, Abhijeet Rajendra Sonawane, Rebekka Burkholz, Behrouz Shamsaei, John Platig, Kimberly Glass, Marieke L. Kuijjer, John Quackenbush

Nucleic Acids Res., 2022

2021

Gene Regulatory Network Inference as Relaxed Graph Matching.

Deborah A. Weighill, Marouen Ben Guebila, Camila Miranda Lopes-Ramos, Kimberly Glass, John Quackenbush, John Platig, Rebekka Burkholz

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

PUMA: PANDA Using MicroRNA Associations.

Marieke L. Kuijjer, Maud Fagny, Alessandro Marin, John Quackenbush, Kimberly Glass

Bioinform., 2020

2019

Precision VISSTA: Machine Learning Prediction and Inference for Bring-Your-Own-Device (BYOD) mHealth Data.

Tim Coleman, Lucas Mentch, Kimberly Glass, David Gotz, Nils Gehlenborg, Arlene E. Chung

Proceedings of the AMIA 2019, 2019

Precision VISSTA: Bring-Your-Own-Device (BYOD) mHealth Data for Precision Health.

Arlene E. Chung, Kimberly Glass, Jacob Leisey-Bartsch, Lucas Mentch, Nils Gehlenborg, David Gotz

Proceedings of the AMIA 2019, 2019

2017

Tissue-aware RNA-Seq processing and normalization for heterogeneous and sparse data.

Joseph N. Paulson, Cho-Yi Chen, Camila Miranda Lopes-Ramos, Marieke L. Kuijjer, John Platig, Abhijeet R. Sonawane, Maud Fagny, Kimberly Glass, John Quackenbush

BMC Bioinform., 2017

Biomarker correlation network in colorectal carcinoma by tumor anatomic location.

Reiko Nishihara, Kimberly Glass, Kosuke Mima, Tsuyoshi Hamada, Jonathan A. Nowak, Zhi Rong Qian, Peter Kraft, Edward L. Giovannucci, Charles S. Fuchs, Andrew T. Chan, John Quackenbush, Shuji Ogino, Jukka-Pekka Onnela

BMC Bioinform., 2017

Estimating gene regulatory networks with pandaR.

Daniel Schlauch, Joseph N. Paulson, Albert Young, Kimberly Glass, John Quackenbush

Bioinform., 2017

2016

PyPanda: a Python package for gene regulatory network reconstruction.

David G. P. van IJzendoorn, Kimberly Glass, John Quackenbush, Marieke L. Kuijjer

Bioinform., 2016

2015

Finding New Order in Biological Functions from the Network Structure of Gene Annotations.

Kimberly Glass, Michelle Girvan

PLoS Comput. Biol., 2015

A network model for angiogenesis in ovarian cancer.

Kimberly Glass, John Quackenbush, Dimitrios Spentzos, Benjamin Haibe-Kains, Guo-Cheng Yuan

BMC Bioinform., 2015

High performance computing of gene regulatory networks using a message-passing model.

Kimberly Glass, John Quackenbush, Jeremy Kepner

Proceedings of the 2015 IEEE High Performance Extreme Computing Conference, 2015

2014

Sexually-dimorphic targeting of functionally-related genes in COPD.

Kimberly Glass, John Quackenbush, Edwin K. Silverman, Bartolome Celli, Stephen I. Rennard, Guo-Cheng Yuan, Dawn L. DeMeo

BMC Syst. Biol., 2014