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Nicholas Chia
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2020 – today
- 2024
- [i4]Tianshu Feng, Rohan Gnanaolivu, Abolfazl Safikhani, Yuanhang Liu, Jun Jiang, Nicholas Chia, Alexander Partin, Priyanka Vasanthakumari, Yitan Zhu, Chen Wang:
Variational and Explanatory Neural Networks for Encoding Cancer Profiles and Predicting Drug Responses. CoRR abs/2407.04486 (2024) - [i3]Jamie C. Overbeek, Alexander Partin, Thomas S. Brettin, Nicholas Chia, Oleksandr Narykov, Priyanka Vasanthakumari, Andreas Wilke, Yitan Zhu, Austin Clyde, Sara Jones, Rohan Gnanaolivu, Yuanhang Liu, Jun Jiang, Chen Wang, Carter Knutson, Andrew D. McNaughton, Neeraj Kumar, Gayara Demini Fernando, Souparno Ghosh, Cesar Sanchez-Villalobos, Ruibo Zhang, Ranadip Pal, M. Ryan Weil, Rick L. Stevens:
Assessing Reusability of Deep Learning-Based Monotherapy Drug Response Prediction Models Trained with Omics Data. CoRR abs/2409.12215 (2024) - 2021
- [j12]Samuel M. D. Seaver, Filipe Liu, Qizhi Zhang, James G. Jeffryes, José P. Faria, Janaka N. Edirisinghe, Michael B. Mundy, Nicholas Chia, Elad Noor, Moritz Emanuel Beber, Aaron A. Best, Matthew DeJongh, Jeffrey A. Kimbrel, Patrik D'haeseleer, Sean R. McCorkle, Jay R. Bolton, Erik Pearson, Shane Canon, Elisha M. Wood-Charlson, Robert W. Cottingham, Adam P. Arkin, Christopher S. Henry:
The ModelSEED Biochemistry Database for the integration of metabolic annotations and the reconstruction, comparison and analysis of metabolic models for plants, fungi and microbes (Corrigendum). Nucleic Acids Res. 49(Database-Issue): D1555 (2021) - [j11]Samuel M. D. Seaver, Filipe Liu, Qizhi Zhang, James G. Jeffryes, José P. Faria, Janaka N. Edirisinghe, Michael B. Mundy, Nicholas Chia, Elad Noor, Moritz Emanuel Beber, Aaron A. Best, Matthew DeJongh, Jeffrey A. Kimbrel, Patrik D'haeseleer, Sean R. McCorkle, Jay R. Bolton, Erik Pearson, Shane Canon, Elisha M. Wood-Charlson, Robert W. Cottingham, Adam P. Arkin, Christopher S. Henry:
The ModelSEED Biochemistry Database for the integration of metabolic annotations and the reconstruction, comparison and analysis of metabolic models for plants, fungi and microbes. Nucleic Acids Res. 49(Database-Issue): D575-D588 (2021) - [c3]Samuel Budd, Arno Blaas, Adrienne Hoarfrost, Kia Khezeli, Krittika D'Silva, Frank Soboczenski, Graham Mackintosh, Nicholas Chia, John Kalantari:
Prototyping CRISP: A Causal Relation and Inference Search Platform applied to Colorectal Cancer Data. LifeTech 2021: 517-521 - [i2]Kia Khezeli, Arno Blaas, Frank Soboczenski, Nicholas Chia, John Kalantari:
On Invariance Penalties for Risk Minimization. CoRR abs/2106.09777 (2021) - [i1]Odhran O'Donoghue, Paul Duckworth, Giuseppe Ughi, Linus Scheibenreif, Kia Khezeli, Adrienne Hoarfrost, Samuel Budd, Patrick Foley, Nicholas Chia, John Kalantari, Graham Mackintosh, Frank Soboczenski, Lauren M. Sanders:
Invariant Risk Minimisation for Cross-Organism Inference: Substituting Mouse Data for Human Data in Human Risk Factor Discovery. CoRR abs/2111.07348 (2021) - 2020
- [j10]James D. Brunner, Nicholas Chia:
Minimizing the number of optimizations for efficient community dynamic flux balance analysis. PLoS Comput. Biol. 16(9) (2020) - [j9]Leah L. Weber, Nuraini Aguse, Nicholas Chia, Mohammed El-Kebir:
PhyDOSE: Design of follow-up single-cell sequencing experiments of tumors. PLoS Comput. Biol. 16(10) (2020) - [c2]John Kalantari, Heidi Nelson, Nicholas Chia:
The Unreasonable Effectiveness of Inverse Reinforcement Learning in Advancing Cancer Research. AAAI 2020: 437-445
2010 – 2019
- 2018
- [j8]Saurabh Baheti, Xiaojia Tang, Daniel R. O'Brien, Nicholas Chia, Lewis R. Roberts, Heidi Nelson, Judy C. Boughey, Liewei Wang, Matthew P. Goetz, Jean-Pierre A. Kocher, Krishna R. Kalari:
HGT-ID: an efficient and sensitive workflow to detect human-viral insertion sites using next-generation sequencing data. BMC Bioinform. 19(1): 271:1-271:11 (2018) - 2017
- [j7]Michael B. Mundy, Helena Mendes-Soares, Nicholas Chia:
Mackinac: a bridge between ModelSEED and COBRApy to generate and analyze genome-scale metabolic models. Bioinform. 33(15): 2416-2418 (2017) - 2016
- [j6]Helena Mendes-Soares, Michael B. Mundy, Luis Mendes Soares, Nicholas Chia:
MMinte: an application for predicting metabolic interactions among the microbial species in a community. BMC Bioinform. 17: 343 (2016) - 2014
- [j5]Matthew N. Benedict, Michael B. Mundy, Christopher S. Henry, Nicholas Chia, Nathan D. Price:
Likelihood-Based Gene Annotations for Gap Filling and Quality Assessment in Genome-Scale Metabolic Models. PLoS Comput. Biol. 10(10) (2014) - 2013
- [j4]Fang Yang, Nicholas Chia, Bryan A. White, Lawrence B. Schook:
Compression-based distance (CBD): a simple, rapid, and accurate method for microbiota composition comparison. BMC Bioinform. 14: 136 (2013) - 2011
- [j3]Yuheng Li, Nicholas Chia, Mario Lauria, Ralf Bundschuh:
A performance enhanced PSI-BLAST based on hybrid alignment. Bioinform. 27(1): 31-37 (2011) - [j2]Carl J. Yeoman, Nicholas Chia, Suleyman Yildirim, Margret E. Berg Miller, Angela Kent, Rebecca Stumpf, Steven R. Leigh, Karen E. Nelson, Bryan A. White, Brenda A. Wilson:
Towards an Evolutionary Model of Animal-Associated Microbiomes. Entropy 13(3): 570-594 (2011)
2000 – 2009
- 2006
- [j1]Nicholas Chia, Ralf Bundschuh:
A Practical Approach to Significance Assessment in Alignment with Gaps. J. Comput. Biol. 13(2): 429-441 (2006) - 2005
- [c1]Nicholas Chia, Ralf Bundschuh:
A Practical Approach to Significance Assessment in Alignment with Gaps. RECOMB 2005: 474-488
Coauthor Index
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