Bayesian Modeling of Single Cell Expression.
- 주제(키워드) Bioengineering , Statistics , Applied mathematics , Cellular biology , Computational chemistry , Computational biology , Machine learning , Point process , RNA-seq , Single cell RNA-seq , Generative models , Stochastic behavior , Gene expression , Uncertainty , Mode collapse
- 발행기관 Princeton University
- 발행년도 2021
- 학위명 박사
- 학과 및 전공 Chemical and Biological Engineering
- ISBN 9798515271473
- UCI I804:11009-000000260027
- 제출원본 PQDT28498021
