Methods and compositions that utilize transciptome sequencing data in machine learning-based classification

Methods and compositions that utilize transciptome sequencing data in machine learning-based classification

Provided herein are methods and systems for producing a modified biological dataset by flagging or removing a nucleic acid sequence from the biological dataset that is assigned a noise-call to produce the modified biological dataset. The noise-call may be based on comparing a gene expression level,...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Zhanzhi Hu, Su Yeon Kim, Giulia C Kennedy, Kevin Travers, Sean P Walsh, Jing Huang
Format: Patent
Sprache:eng
Schlagworte:
BEER
BIOCHEMISTRY
CHEMISTRY
COMPOSITIONS OR TEST PAPERS THEREFOR
CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL ORENZYMOLOGICAL PROCESSES
ENZYMOLOGY
INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS
MEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEICACIDS OR MICROORGANISMS
METALLURGY
MICROBIOLOGY
MUTATION OR GENETIC ENGINEERING
PHYSICS
PROCESSES OF PREPARING SUCH COMPOSITIONS
SPIRITS
VINEGAR
WINE
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Beschreibung
Zusammenfassung:Provided herein are methods and systems for producing a modified biological dataset by flagging or removing a nucleic acid sequence from the biological dataset that is assigned a noise-call to produce the modified biological dataset. The noise-call may be based on comparing a gene expression level, sequence information, or a combination thereof with a nucleic acid sequence of a control sample.