Dissertation/ Thesis
Clustering proteins
| Τίτλος: | Clustering proteins |
|---|---|
| Συγγραφείς: | Peng, Chao. |
| Έτος έκδοσης: | 2022 |
| Συλλογή: | Monash University: Figshare |
| Θεματικοί όροι: | Bioinformatics, Proteins Analysis Data processing, Genes Analysis Data processing, Cluster analysis Computer programs, Cluster analysis Data processing, Computer algorithms, Data mining |
| Περιγραφή: | This thesis was scanned from the print manuscript for digital preservation and is copyright the author. Researchers can access this thesis by asking their local university, institution or public library to make a request on their behalf. Monash staff and postgraduate students can use the link in the References field. |
| Τύπος εγγράφου: | thesis |
| Γλώσσα: | unknown |
| Relation: | https://figshare.com/articles/thesis/Clustering_proteins/19562764 |
| DOI: | 10.26180/19562764.v1 |
| Διαθεσιμότητα: | https://doi.org/10.26180/19562764.v1 https://figshare.com/articles/thesis/Clustering_proteins/19562764 |
| Rights: | In Copyright ; Embargoed |
| Αριθμός Καταχώρησης: | edsbas.65E52B4F |
| Βάση Δεδομένων: | BASE |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://doi.org/10.26180/19562764.v1# Name: EDS - BASE (ns324271) Category: fullText Text: View record from BASE |
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| IllustrationInfo | |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.26180/19562764.v1 Languages: – Text: unknown Subjects: – SubjectFull: Bioinformatics Type: general – SubjectFull: Proteins Analysis Data processing Type: general – SubjectFull: Genes Analysis Data processing Type: general – SubjectFull: Cluster analysis Computer programs Type: general – SubjectFull: Cluster analysis Data processing Type: general – SubjectFull: Computer algorithms Type: general – SubjectFull: Data mining Type: general Titles: – TitleFull: Clustering proteins Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Peng, Chao. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2022 Identifiers: – Type: issn-locals Value: edsbas |
| ResultId | 1 |