Biological Analysis and Linear Block Hidden Markov Model for Gene and Labelled

α
Dr. Suneel Pappala
Dr. Suneel Pappala
α Jawaharlal Nehru Technological University, Hyderabad

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Biological Analysis and Linear Block Hidden Markov Model for Gene and Labelled

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References

16 Cites in Article
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  10. Kuang Lin,Victor Simossis,Willam Taylor,Jaap Heringa (2005). A simple and fast secondary structure prediction method using hidden neural networks.
  11. Sujun Hua,Zhirong Sun (2001). A novel method of protein secondary structure prediction with high segment overlap measure: support vector machine approach1 1Edited by B. Holland.
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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. Suneel Pappala. 2026. \u201cBiological Analysis and Linear Block Hidden Markov Model for Gene and Labelled\u201d. Global Journal of Computer Science and Technology - H: Information & Technology GJCST-H Volume 22 (GJCST Volume 22 Issue H1): .

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Accurate biological sequence analysis using Hidden Markov Models for gene prediction and annotation.
Issue Cover
GJCST Volume 22 Issue H1
Pg. 13- 17
Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords
Classification
GJCST-H Classification: DDC Code: 572.8633 LCC Code: QP620
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v1.2

Issue date

July 19, 2022

Language
en
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Biological Analysis and Linear Block Hidden Markov Model for Gene and Labelled

Dr. Suneel Pappala
Dr. Suneel Pappala

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