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Subject: Bioinformatics.

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Baylor University. Biomedical Studies. degree granting institution.

(2)

Islam, S. M. Ashiqul, author.

(2)

ProQuest (Firm)

(2)

SpringerLink (Online service)

(2)

Sung, Wing-Kin, author.

(2)

Washington State University. Computer Science. degree granting institution.

(2)

Abedi, Vida, contributor.

(1)

Abnousi, Armen, author. (orcid)0000-0003-1822-0928

(1)

Arabnia, Hamid, editor.

(1)

Attwood, Teresa K.

(1)

Brennan, Patrick, author.

(1)

Cheng, Lixin, author.

(1)

Cleary, Alan Michael, author.

(1)

Clemson University. Industrial Engineering. degree granting institution.

(1)

(1)

De Paz, Juan F. editor.

(1)

Dhiman, Siddhartha, author. (orcid)0000-0001-6957-8765

(1)

Fdez-Riverola, Florentino. editor.

(1)

Fogel, Gary, 1968-

(1)

Fu, Kai, author.

(1)

Gordon, David, author.

(1)

Guan, Meijian, author.

(1)

Guo, Peng, author.

(1)

(1)

Hixson, Kim Kathleen, author. (orcid)0000-0003-3915-7040

(1)

Kim, Clara Heown, author.

(1)

Kollu, Shanthi, author.

(1)

Missouri University of Science and Technology. Electrical Engineering. degree granting institution.

(1)

Mohamad, Mohd Saberi. editor.

(1)

Montana State University. Computer Science. degree granting institution.

(1)

(1)

Neapolitan, Richard E.

(1)

Pegues, Kathryn Kennedy, author.

(1)

Pesántez Cabrera, Paola Gabriela, author. (orcid)0000-0002-5511-1037

(1)

Pham, Minh H., author.

(1)

Pinto, Tiago. editor.

(1)

Prasad, V. Kamakshi. editor.

(1)

Purdue University. Biological Sciences. degree granting institution.

(1)

Raju, K. Srujan. editor.

(1)

Rani, B. Padmaja. editor.

(1)

Rocha, Miguel. editor.

(1)

Satapathy, Suresh Chandra. editor.

(1)

State University of New York at Buffalo. Biomedical Engineering. degree granting institution.

(1)

Sun, Chen, author.

(1)

Texas A&M University - Commerce. Computer Science. degree granting institution.

(1)

The Chinese University of Hong Kong (Hong Kong). Computer Science and Engineering. degree granting institution.

(1)

The Pennsylvania State University. Engineering and Computer Science. degree granting institution.

(1)

The University of Toledo. Biology (Cell-Molecular Biology). degree granting institution.

(1)

Tran, Quoc-Nam, editor.

(1)

Udgata, Siba K. editor.

(1)

University of California, Los Angeles. Bioinformatics 025F. degree granting institution.

(1)

University of California, Los Angeles. Clinical Research 0853. degree granting institution.

(1)

University of Glasgow (United Kingdom). Department of Computing Science. degree granting institution.

(1)

University of South Florida. Mathematics and Statistics. degree granting institution.

(1)

Veeramalai, Mallika, author.

(1)

Wake Forest University. Computer Science. degree granting institution.

(1)

Washington State University. Molecular Plant Sciences. degree granting institution.

(1)

Yale University. Yale School of Medicine. degree granting institution.

(1)

Yang, Yifan, author.

(1)

Zelikovsky, Alexander.

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Electronic books.

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Artificial intelligence.

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Computer science.

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Molecular biology.

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Biomedical engineering.

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Computational Biology/Bioinformatics.

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Computational biology.

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Computational intelligence.

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Genetic algorithms.

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Artificial Intelligence (incl. Robotics).

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Bayesian statistical decision theory.

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Bioinformática.

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COMPUTERS -- Bioinformatics.

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Cellular biology.

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Communications Engineering, Networks.

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Computer engineering.

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Electrical engineering.

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Evolutionary computation.

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Health care management.

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Molecular evolution -- Mathematical models.

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NATURE -- Reference.

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Nucleotide sequence.

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Pharmaceutical sciences.

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SCIENCE -- Life Sciences -- Biology.

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SCIENCE -- Life Sciences -- General.

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Cover image for Using Electronic Health Records to Identify Incarceration History among Veterans

Using Electronic Health Records to Identify Incarceration History among Veterans

13.

Using Electronic Health Records to Identify Incarceration History among Veterans

by

Kim, Clara Heown, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10747399

Format:

Excerpt:

a keyword search. Both methods are much more sensitive than a human reader. ML algorithms may thus

Cover image for Probabilistic methods for bioinformatics : with an introduction to Bayesian networks

Probabilistic methods for bioinformatics : with an introduction to Bayesian networks

14.

Probabilistic methods for bioinformatics : with an introduction to Bayesian networks

by

Neapolitan, Richard E.

ScienceDirect https://www.sciencedirect.com/science/book/9780123704764

Format:

Excerpt:

Statistics; Algorithms for Bayesian Networks; Decision Trees and Influence Diagrams. II Bioinformatics

Cover image for Machine Learning-assisted Prediction of Structure and Function of Cystine-stabilized Peptides and Optimization of Expression in an E. coli System

Machine Learning-assisted Prediction of Structure and Function of Cystine-stabilized Peptides and Optimization of Expression in an E. coli System

15.

Machine Learning-assisted Prediction of Structure and Function of Cystine-stabilized Peptides and Optimization of Expression in an E. coli System

by

Islam, S. M. Ashiqul, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10794048

Format:

Excerpt:

-assisted algorithms PredSTP and CSPred to predict structural and functional characteristics, respectively, of cystine

Cover image for Mining and Integrating Epigenomics Big Data to Discover Novel Mechanisms of Gene Regulation

Mining and Integrating Epigenomics Big Data to Discover Novel Mechanisms of Gene Regulation

16.

Mining and Integrating Epigenomics Big Data to Discover Novel Mechanisms of Gene Regulation

by

Fu, Kai, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10825276

Format:

Excerpt:

algorithms. My dissertation then focuses on mining and integrating epigenomic big data to inform novel

Cover image for From Pieces to Paths: Combining Disparate Information in Computational Analysis of RNA-Seq

From Pieces to Paths: Combining Disparate Information in Computational Analysis of RNA-Seq

17.

From Pieces to Paths: Combining Disparate Information in Computational Analysis of RNA-Seq

by

Yang, Yifan, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10745433

Format:

Excerpt:

systems through millions of reads. The ultimate goal of RNA sequencing bioinformatics algorithms is to

Cover image for Machine Learning-Assisted Prediction of Structure and Function of Cystine-Stabilized peptides and Optimization of Expression in an E. coli System

Machine Learning-Assisted Prediction of Structure and Function of Cystine-Stabilized peptides and Optimization of Expression in an E. coli System

18.

Machine Learning-Assisted Prediction of Structure and Function of Cystine-Stabilized peptides and Optimization of Expression in an E. coli System

by

Islam, S. M. Ashiqul, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10784140

Format:

Excerpt:

To contribute to developing this pipeline, I developed the machine learning-assisted algorithms

Cover image for Signal Detection of Adverse Drug Reaction using the Adverse Event Reporting System: Literature Review and Novel Methods

Signal Detection of Adverse Drug Reaction using the Adverse Event Reporting System: Literature Review and Novel Methods

19.

Signal Detection of Adverse Drug Reaction using the Adverse Event Reporting System: Literature Review and Novel Methods

by

Pham, Minh H., author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10785863

Format:

Excerpt:

efficient method to inspect post-marketing drug safety is to use data mining algorithms on electronic health

Cover image for Role of Nuclear-FGFR1 in Schizophrenia and Ontogenic Genome Programming - A Computational Study

Role of Nuclear-FGFR1 in Schizophrenia and Ontogenic Genome Programming - A Computational Study

20.

Role of Nuclear-FGFR1 in Schizophrenia and Ontogenic Genome Programming - A Computational Study

by

Dhiman, Siddhartha, author. (orcid)0000-0001-6957-8765

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10823919

Format:

Excerpt:

). Using computational algorithms to detect cells and characterize them, it was discovered that NPCs in

Cover image for Incorporating EMR and Genomic Data Using NLP and Machine Learning to Refine Cancer Treatment

Incorporating EMR and Genomic Data Using NLP and Machine Learning to Refine Cancer Treatment

21.

Incorporating EMR and Genomic Data Using NLP and Machine Learning to Refine Cancer Treatment

by

Guan, Meijian, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10813804

Format:

Excerpt:

. The performances of RNNs was compared to five machine learning algorithms including Naive Bayes (NB

Cover image for Clustering of Large-Scale Protein Datasets

Clustering of Large-Scale Protein Datasets

22.

Clustering of Large-Scale Protein Datasets

by

Abnousi, Armen, author. (orcid)0000-0003-1822-0928

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10641432

Format:

Excerpt:

the power of the MapReduce framework to parallelize our algorithms. A MapReduce implementation of both

Cover image for 11th International Conference on Practical Applications of Computational Biology & Bioinformatics

11th International Conference on Practical Applications of Computational Biology & Bioinformatics

23.

11th International Conference on Practical Applications of Computational Biology & Bioinformatics

by

Fdez-Riverola, Florentino. editor.

http://dx.doi.org/10.1007/978-3-319-60816-7

Format:

Excerpt:

produced and their integration call for new algorithms and approaches from fields such as Databases

Cover image for An Investigation of Personal Ancestry Using Haplotypes

An Investigation of Personal Ancestry Using Haplotypes

24.

An Investigation of Personal Ancestry Using Haplotypes

by

Brennan, Patrick, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10901958

Format:

Excerpt:

techniques and algorithms it uses to determine ancestry are proprietary. Many customers have wondered about

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