Academic lineage
- Frances H Arnold - Ph.D. student
Inferring protein fitness landscapes from laboratory evolution experiments
- Sameer D’Costa, Emily C Hinds, Chase R Freschlin, …, Chase R Freschlin, Hyebin Song, Philip A Romero
- PLoS Comput Biol, 10.1371/journal.pcbi.1010956
Competitive SNP-LAMP probes for rapid and robust single-nucleotide polymorphism detection
- Leland B Hyman, Clare R Christopher, Philip A Romero
- Cell Rep Methods, 10.1016/j.crmeth.2022.100242
Machine learning to navigate fitness landscapes for protein engineering
- Chase R Freschlin, Sarah A Fahlberg, Philip A Romero, …, Chase R Freschlin, Sarah A Fahlberg, Philip A Romero
- Curr Opin Biotechnol, 10.1016/j.copbio.2022.102713
Correction to: Microfluidic deep mutational scanning of the human executioner caspases reveals differences in structure and regulation
- Hridindu Roychowdhury, Philip A Romero
- Cell Death Dis, 10.1038/s41420-022-00873-1
Machine learning-guided acyl-ACP reductase engineering for improved in vivo fatty alcohol production
- Jonathan C Greenhalgh, Sarah A Fahlberg, Brian F Pfleger, …, Sarah A Fahlberg, Brian F Pfleger, Philip A Romero
- Nat Commun, 10.1038/s41467-021-25831-w
Single-cell nucleic acid profiling in droplets (SNAPD) enables high-throughput analysis of heterogeneous cell populations
- Leland B Hyman, Clare R Christopher, Philip A Romero
- Nucleic Acids Res, 10.1093/nar/gkab577
Active and machine learning-based approaches to rapidly enhance microbial chemical production
- Prashant Kumar, Paul A Adamczyk, Xiaolin Zhang, …, Philip A Romero, Parameswaran Ramanathan, Jennifer L Reed
- Metab Eng, 10.1016/j.ymben.2021.06.009
Inferring Protein Sequence-Function Relationships with Large-Scale Positive-Unlabeled Learning
- Hyebin Song, Bennett J Bremer, Emily C Hinds, Garvesh Raskutti, Philip A Romero
- Cell Syst, 10.1016/j.cels.2020.10.007