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Bayesian Modeling of Single Cell Expression.
Bayesian Modeling of Single Cell Expression.
- 자료유형
- 학위논문
- Control Number
- 0016052099
- International Standard Book Number
- 9798515271473
- Dewey Decimal Classification Number
- 610
- Main Entry-Personal Name
- Verma, Archit.
- Publication, Distribution, etc. (Imprint
- [S.l.] : Princeton University., 2021
- Publication, Distribution, etc. (Imprint
- Ann Arbor : ProQuest Dissertations & Theses, 2021
- Physical Description
- 182 p.
- General Note
- Source: Dissertations Abstracts International, Volume: 82-12, Section: B.
- General Note
- Advisor: Engelhardt, Barbara.
- Dissertation Note
- Thesis (Ph.D.)--Princeton University, 2021.
- Restrictions on Access Note
- This item must not be sold to any third party vendors.
- Subject Added Entry-Topical Term
- Bioengineering.
- Subject Added Entry-Topical Term
- Statistics.
- Subject Added Entry-Topical Term
- Applied mathematics.
- Subject Added Entry-Topical Term
- Cellular biology.
- Subject Added Entry-Topical Term
- Computational chemistry.
- Index Term-Uncontrolled
- Computational biology
- Index Term-Uncontrolled
- Machine learning
- Index Term-Uncontrolled
- Point process
- Index Term-Uncontrolled
- RNA-seq
- Index Term-Uncontrolled
- Single cell RNA-seq
- Index Term-Uncontrolled
- Generative models
- Index Term-Uncontrolled
- Stochastic behavior
- Index Term-Uncontrolled
- Gene expression
- Index Term-Uncontrolled
- Uncertainty
- Index Term-Uncontrolled
- Mode collapse
- Added Entry-Corporate Name
- Princeton University Chemical and Biological Engineering
- Host Item Entry
- Dissertations Abstracts International. 82-12B.
- Host Item Entry
- Dissertation Abstract International
- Electronic Location and Access
- 로그인을 한후 보실 수 있는 자료입니다.
- Control Number
- joongbu:611691