Signal processing methods for music transcription
… to describe algorithms and models for the different subtopics of music transcription, including
… for metre analysis, percussion transcription, and pitched musical instrument classification. …
… for metre analysis, percussion transcription, and pitched musical instrument classification. …
UMI-tools: modeling sequencing errors in Unique Molecular Identifiers to improve quantification accuracy
… For example, in RNA-seq, highly expressed transcripts are more … number of bases different
(edit distance) between UMIs at a … and can improve classification by hierarchical clustering. …
(edit distance) between UMIs at a … and can improve classification by hierarchical clustering. …
[图书][B] Talking data: Transcription and coding in discourse research
JA Edwards, MD Lampert - 2014 - taylorfrancis.com
… Just as the number and type of prepositions differ across languages, so too the number
and meaning of transcription categories differ across transcription systems. For example, a “short…
and meaning of transcription categories differ across transcription systems. For example, a “short…
[HTML][HTML] Noncoding RNA gene detection using comparative sequence analysis
… Noncoding RNA genes produce transcripts that exert their … The Inside algorithm for scoring
a pair-SCFG against a fixed … algorithm is dominated by the Inside algorithm for scoring the …
a pair-SCFG against a fixed … algorithm is dominated by the Inside algorithm for scoring the …
CPC: assess the protein-coding potential of transcripts using sequence features and support vector machine
… algorithm and standalone software named CONC was published that classifies transcripts
… Known for its high accuracy and good performance, SVM is a widely used classification tool …
… Known for its high accuracy and good performance, SVM is a widely used classification tool …
[PDF][PDF] Measuring dialect pronunciation differences using Levenshtein distance
WJ Heeringa - 2004 - research.rug.nl
… transcribing them. For our purpose of quantifying dialect distances we use a feature system
… (see Section 5.1), not to histogram distances as calculated in the corpus frequency method …
… (see Section 5.1), not to histogram distances as calculated in the corpus frequency method …
JASPAR, the open access database of transcription factor-binding profiles: new content and tools in the 2008 update
… transcription factors Multi-cellular eukaryotes Matrix-to-matrix comparison and classification,
… using the UPGMA algorithm with a Pearson Correlation Coefficient distance metric. Then …
… using the UPGMA algorithm with a Pearson Correlation Coefficient distance metric. Then …
[图书][B] Text algorithms
M Crochemore, W Rytter - 1994 - books.google.com
… The automatic transcription of these gels into sequences is a … edit distance problem : compute
the minimal number of edit … techniques and the classification of algorithms according to the …
the minimal number of edit … techniques and the classification of algorithms according to the …
[HTML][HTML] Enrichr: interactive and collaborative HTML5 gene list enrichment analysis tool
… how the different scoring methods rank putative … of transcription factors ranks because some
transcription factors have multiple entries in ChEA. The results show that the second method…
transcription factors have multiple entries in ChEA. The results show that the second method…
Fast and reliable prediction of noncoding RNAs
S Washietl, IL Hofacker… - Proceedings of the …, 2005 - National Acad Sciences
… We report an efficient method for detecting functional RNAs. … The discovery of a diverse
array of transcripts that are not … Our SVM classification model currently is trained only for up …
array of transcripts that are not … Our SVM classification model currently is trained only for up …