Jan Schellenberger
Jan Schellenberger
Q Bio,Grail Bio, LinkedIn, UC San Diego
Verified email at - Homepage
Cited by
Cited by
Quantitative prediction of cellular metabolism with constraint-based models: the COBRA Toolbox v2. 0
J Schellenberger, R Que, RMT Fleming, I Thiele, JD Orth, AM Feist, ...
Nature protocols 6 (9), 1290-1307, 2011
Sensitive and specific multi-cancer detection and localization using methylation signatures in cell-free DNA
Annals of Oncology, 2020
BiGG: a Biochemical Genetic and Genomic knowledgebase of large scale metabolic reconstructions
J Schellenberger, JO Park, TM Conrad, Bě Palsson
BMC bioinformatics 11, 1-10, 2010
Use of randomized sampling for analysis of metabolic networks
J Schellenberger, Bě Palsson
Journal of biological chemistry 284 (9), 5457-5461, 2009
Insight into human alveolar macrophage and M. tuberculosis interactions via metabolic reconstructions
A Bordbar, NE Lewis, J Schellenberger, Bě Palsson, N Jamshidi
Molecular systems biology 6 (1), 422, 2010
Large-scale in silico modeling of metabolic interactions between cell types in the human brain
NE Lewis, G Schramm, A Bordbar, J Schellenberger, MP Andersen, ...
Nature biotechnology 28 (12), 1279-1285, 2010
Model-driven evaluation of the production potential for growth-coupled products of Escherichia coli
AM Feist, DC Zielinski, JD Orth, J Schellenberger, MJ Herrgard, ...
Metabolic engineering 12 (3), 173-186, 2010
Elimination of thermodynamically infeasible loops in steady-state metabolic models
J Schellenberger, NE Lewis, Bě Palsson
Biophysical Journal 100 (3), 544-553, 2011
Uniform sampling of steady-state flux spaces: means to design experiments and to interpret enzymopathies
ND Price, J Schellenberger, BO Palsson
Biophysical journal 87 (4), 2172-2186, 2004
Functional characterization of alternate optimal solutions of Escherichia coli's transcriptional and translational machinery
I Thiele, RMT Fleming, A Bordbar, J Schellenberger, Bě Palsson
Biophysical journal 98 (10), 2072-2081, 2010
Minimal metabolic pathway structure is consistent with associated biomolecular interactions
A Bordbar, H Nagarajan, NE Lewis, H Latif, A Ebrahim, S Federowicz, ...
Molecular systems biology 10 (7), 737, 2014
Predicting outcomes of steady-state 13C isotope tracing experiments using Monte Carlo sampling
J Schellenberger, DC Zielinski, W Choi, S Madireddi, V Portnoy, DA Scott, ...
BMC systems biology 6, 1-14, 2012
Genome-wide cell-free DNA (cfDNA) methylation signatures and effect on tissue of origin (TOO) performance.
MC Liu, A Jamshidi, O Venn, AP Fields, MC Maher, G Cann, H Amini, ...
Journal of Clinical Oncology 37 (15_suppl), 3049-3049, 2019
Online advertisement forecasting using targeted messages
J Chen, T Cui, Z Deng, S You, D Kumar, D Guangyu, S Kshetramade, ...
US Patent App. 14/642,586, 2016
Identifying potential computer system problems using machine learning techniques
J Schellenberger, H Gao
US Patent 10,152,363, 2018
Expanding an audience for an advertising campaign
J Schellenberger, S Kshetramade, K Cao, A Kannan, K Liu, H Liu, C Li, ...
US Patent App. 14/643,431, 2016
Monte Carlo simulation in systems biology
J Schellenberger
University of California, San Diego, 2010
Model-based featurization and classification
AP Fields, JF Beausang, OC Venn, A Jamshidi, MC MAHER, Q Liu, ...
US Patent App. 15/931,022, 2020
Detecting cancer, cancer tissue of origin, and/or a cancer cell type
OC Venn, AP Fields, SS Gross, Q Liu, J Schellenberger, J Bredno, ...
US Patent App. 17/384,241, 2022
Detecting cancer, cancer tissue of origin, and/or a cancer cell type
OC Venn, AP Fields, SS Gross, Q Liu, J Schellenberger, J Bredno, ...
US Patent App. 17/393,625, 2022
The system can't perform the operation now. Try again later.
Articles 1–20