Quantitative Computational Biology
Items (Sorted by Submit Date in Descending order): 1 to 20 of 40
| Issue Date | Title | Author(s) |
| 2025 | Interpreting cancer genomes: Computational methods for uncovering the genomic basis of transcriptional dysregulation in cancer | Geraghty, Sara Elizabeth |
| 2025 | INTEGRATIVE MULTI-OMIC DATA ANALYSIS AND SOFTWARE DEVELOPMENT | Thistlethwaite, William |
| 2022 | Beyond steady state: temporal variation in microbial communities | Lopez, Jaime Gerardo |
| 2022 | INTEGRATIVE ANALYSIS OF SINGLE CELL MULTI-OMICS DATA | Zhang, Zidong |
| 2022 | Elucidating principles of bacterial nitric oxide metabolism to pave the way for novel antibiotics | Sivaloganathan, Darshan |
| 2021 | Heterogeneity in human populations, from structure to personality--a modeling and data approach | Chu, Olivia Jessica |
| 2021 | High-dimensional methods to model biological signal in genome-wide studies | Bass, Andrew Jay |
| 2021 | Analysis of Distal eQTLs across Multiple Human Tissues and Methods to Improve Their Quality | Jo, Brian |
| 2021 | Beyond optimization and dynamic programming: incorporating frequency-dependent effects through mean-field games | Cho, Samuel |
| 2020 | Comparative genomics of the Drosophila yakuba group | Reilly, Patrick Francois |
| 2020 | The Effects of Epistasis and Pleiotropy on the Repeatability of Evolution | Taverner, Andrew Michael |
| 2020 | C. ELEGANS BEHAVIORS AND THEIR MECHANOSENSORY DRIVERS | Liu, Mochi |
| 2019 | TOPOLOGICAL REGULATION OF ENHANCER-PROMOTER COMMUNICATION | Heist, Tyler |
| 2019 | Computational Approaches for Sequence Guided Metagenome Mining of Small Molecules in the Human Microbiome | Camacho, Francine Rosa |
| 2019 | Genomic characterization of simple and complex traits in non-model organisms | Han, Clair |
| 2019 | Expanding the computational biologist’s toolkit: Experimental design and multi-modality in genomics | Dumitrascu, Bianca |
| 2019 | Associations and Confounding in High-Dimensional Genomics | Darnell, Gregory |
| 2019 | Prediction of Cancer Phenotypes Through Machine Learning Approaches: From Gene Modularity to Deep Neural Networks | Zamalloa, Jose Antonio |
| 2019 | Revealing disease-relevant alteration patterns through data aggregation | Munro, Daniel |
| 2018 | Latent variable models for non-Gaussian data with applications to genome-wide variation | Hao, Wei |
Items (Sorted by Submit Date in Descending order): 1 to 20 of 40