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Nonparametric Methods for Building and Evaluating Models of Biological Sequences.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Nonparametric Methods for Building and Evaluating Models of Biological Sequences./
Author:	Amin, Alan N.
Description:	1 online resource (417 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 85-05, Section: B.
Contained By:	Dissertations Abstracts International85-05B.
Subject:	Systematic biology. -
Online resource:	click for full text (PQDT)
ISBN:	9798380848091

Nonparametric Methods for Building and Evaluating Models of Biological Sequences.
Amin, Alan N.

Nonparametric Methods for Building and Evaluating Models of Biological Sequences. - 1 online resource (417 pages)

Source: Dissertations Abstracts International, Volume: 85-05, Section: B.

Thesis (Ph.D.)--Harvard University, 2023.

Includes bibliographical references

Probabilistic models of biological sequences are used to design drugs, make predictions about human health, and learn basic biology. Sequence data is high dimensional so a probabilistic model must make biological assumptions to predict and infer. However, these assumptions can come at the cost of the flexibility of the model, fundamentally limiting its ability to make accurate predictions and learn new biology. Modern sequencing efforts and high-throughput experimentation are generating an ever-increasing amount of sequence data, in principle providing increasing information to learn the complexity of real sequence data. To leverage this wealth of data this thesis builds nonparametric models and tests of sequences that incorporate biological prior knowledge while remaining flexible. This thesis build methods to perform efficient, flexible, and reliable prediction and inference from DNA and protein data, at large and small scale, and in supervised and unsupervised settings.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798380848091Subjects--Topical Terms:

1179695
Systematic biology.
Subjects--Index Terms:

Probabilistic modelsIndex Terms--Genre/Form:

554714
Electronic books.

Nonparametric Methods for Building and Evaluating Models of Biological Sequences.
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