Author

James T. Lim

University of Arizona

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Assay:multiome· 1 Assay:protein sequence· 1

Frequent Co-Authors

Megha PadiiD· 2 shared Abhijeet Sonanwane· 1 shared Adam D. GrantiD· 1 shared Alessandro MariniD· 1 shared Alex Song· 1 shared Camila M. Lopes‐RamosiD· 1 shared Chen CheniD· 1 shared Cho-Yi CheniD· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersGenomics

Megha PadiORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

The Network Zoo: a multilingual package for the inference and analysis of biological networks

Marouen Ben Guebila, Tian Wang, Camila M. Lopes‐Ramos, Viola Fanfani, Deborah A. Weighill, Rebekka Burkholz, Daniel Schlauch, Joseph Nathaniel Paulson, Michael Altenbuchinger, Abhijeet Sonanwane, James T. Lim, Genís Calderer, David G.P. van IJzendoorn, Daniel C. Morgan, Alessandro Marin, , John F Quackenbush

The paper introduces netZoo, an open-source software suite for analyzing biological networks, demonstrating its use on cancer cell line data to identify drug resistance and cancer development factors.

bioRxiv · May 30, 2022 · PreprintGenomics

Generating Ensembles of Gene Regulatory Networks to Assess Robustness of Disease Modules

James T. Lim, Chen Chen, Adam D. Grant, Megha Padi

This paper introduces CRANE, a method to assess the robustness of network structure changes by generating ensembles of gene regulatory networks and evaluating the significance of observed community shifts.

Frontiers in Genetics · Jan 14, 2021Peer-reviewedBioinformatics