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Biblio

Found 37 results
Author [ Keyword(Desc)] Title Type Year
Filters: Author is Leung, Yuk Yee  [Clear All Filters]
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Algorithms
Y. Yee Leung, Ryvkin, P., Ungar, L. H., Gregory, B. D., and San Wang, L. -, “CoRAL: predicting non-coding RNAs from small RNA-sequencing data.”, Nucleic Acids Res, vol. 41, no. 14, p. e137, 2013.
P. Ryvkin, Leung, Y. Yee, Ungar, L. H., Gregory, B. D., and San Wang, L. -, “Using machine learning and high-throughput RNA sequencing to classify the precursors of small non-coding RNAs.”, Methods, vol. 67, no. 1, pp. 28-35, 2014.
Animals
P. Ryvkin, Leung, Y. Yee, Ungar, L. H., Gregory, B. D., and San Wang, L. -, “Using machine learning and high-throughput RNA sequencing to classify the precursors of small non-coding RNAs.”, Methods, vol. 67, no. 1, pp. 28-35, 2014.
Artificial Intelligence
Y. Yee Leung, Ryvkin, P., Ungar, L. H., Gregory, B. D., and San Wang, L. -, “CoRAL: predicting non-coding RNAs from small RNA-sequencing data.”, Nucleic Acids Res, vol. 41, no. 14, p. e137, 2013.
P. Ryvkin, Leung, Y. Yee, Ungar, L. H., Gregory, B. D., and San Wang, L. -, “Using machine learning and high-throughput RNA sequencing to classify the precursors of small non-coding RNAs.”, Methods, vol. 67, no. 1, pp. 28-35, 2014.
Base Sequence
P. Ryvkin, Leung, Y. Yee, Ungar, L. H., Gregory, B. D., and San Wang, L. -, “Using machine learning and high-throughput RNA sequencing to classify the precursors of small non-coding RNAs.”, Methods, vol. 67, no. 1, pp. 28-35, 2014.
Classification
Y. Yee Leung, Ryvkin, P., Ungar, L. H., Gregory, B. D., and San Wang, L. -, “CoRAL: predicting non-coding RNAs from small RNA-sequencing data.”, Nucleic Acids Res, vol. 41, no. 14, p. e137, 2013.
Databases, Nucleic Acid
Y. Yee Leung, Kuksa, P. P., Amlie-Wolf, A., Valladares, O., Ungar, L. H., Kannan, S., Gregory, B. D., and San Wang, L. -, “DASHR: database of small human noncoding RNAs.”, Nucleic Acids Res, vol. 44, no. D1, pp. D216-22, 2016.
Decision Trees
P. Ryvkin, Leung, Y. Yee, Ungar, L. H., Gregory, B. D., and San Wang, L. -, “Using machine learning and high-throughput RNA sequencing to classify the precursors of small non-coding RNAs.”, Methods, vol. 67, no. 1, pp. 28-35, 2014.
Entropy
P. Ryvkin, Leung, Y. Yee, Ungar, L. H., Gregory, B. D., and San Wang, L. -, “Using machine learning and high-throughput RNA sequencing to classify the precursors of small non-coding RNAs.”, Methods, vol. 67, no. 1, pp. 28-35, 2014.
Female
P. Ryvkin, Leung, Y. Yee, Silverman, I. M., Childress, M., Valladares, O., Dragomir, I., Gregory, B. D., and San Wang, L. -, “HAMR: high-throughput annotation of modified ribonucleotides.”, RNA, vol. 19, no. 12, pp. 1684-92, 2013.
HEK293 Cells
P. Ryvkin, Leung, Y. Yee, Silverman, I. M., Childress, M., Valladares, O., Dragomir, I., Gregory, B. D., and San Wang, L. -, “HAMR: high-throughput annotation of modified ribonucleotides.”, RNA, vol. 19, no. 12, pp. 1684-92, 2013.
High-Throughput Nucleotide Sequencing
P. Ryvkin, Leung, Y. Yee, Ungar, L. H., Gregory, B. D., and San Wang, L. -, “Using machine learning and high-throughput RNA sequencing to classify the precursors of small non-coding RNAs.”, Methods, vol. 67, no. 1, pp. 28-35, 2014.
Humans
Y. Yee Leung, Ryvkin, P., Ungar, L. H., Gregory, B. D., and San Wang, L. -, “CoRAL: predicting non-coding RNAs from small RNA-sequencing data.”, Nucleic Acids Res, vol. 41, no. 14, p. e137, 2013.
P. Ryvkin, Leung, Y. Yee, Silverman, I. M., Childress, M., Valladares, O., Dragomir, I., Gregory, B. D., and San Wang, L. -, “HAMR: high-throughput annotation of modified ribonucleotides.”, RNA, vol. 19, no. 12, pp. 1684-92, 2013.
P. Ryvkin, Leung, Y. Yee, Ungar, L. H., Gregory, B. D., and San Wang, L. -, “Using machine learning and high-throughput RNA sequencing to classify the precursors of small non-coding RNAs.”, Methods, vol. 67, no. 1, pp. 28-35, 2014.
Y. Yee Leung, Kuksa, P. P., Amlie-Wolf, A., Valladares, O., Ungar, L. H., Kannan, S., Gregory, B. D., and San Wang, L. -, “DASHR: database of small human noncoding RNAs.”, Nucleic Acids Res, vol. 44, no. D1, pp. D216-22, 2016.
Inverted Repeat Sequences
P. Ryvkin, Leung, Y. Yee, Ungar, L. H., Gregory, B. D., and San Wang, L. -, “Using machine learning and high-throughput RNA sequencing to classify the precursors of small non-coding RNAs.”, Methods, vol. 67, no. 1, pp. 28-35, 2014.
Male
P. Ryvkin, Leung, Y. Yee, Silverman, I. M., Childress, M., Valladares, O., Dragomir, I., Gregory, B. D., and San Wang, L. -, “HAMR: high-throughput annotation of modified ribonucleotides.”, RNA, vol. 19, no. 12, pp. 1684-92, 2013.
Molecular Sequence Annotation
P. Ryvkin, Leung, Y. Yee, Silverman, I. M., Childress, M., Valladares, O., Dragomir, I., Gregory, B. D., and San Wang, L. -, “HAMR: high-throughput annotation of modified ribonucleotides.”, RNA, vol. 19, no. 12, pp. 1684-92, 2013.
Y. Yee Leung, Kuksa, P. P., Amlie-Wolf, A., Valladares, O., Ungar, L. H., Kannan, S., Gregory, B. D., and San Wang, L. -, “DASHR: database of small human noncoding RNAs.”, Nucleic Acids Res, vol. 44, no. D1, pp. D216-22, 2016.
Molecular Sequence Data
P. Ryvkin, Leung, Y. Yee, Ungar, L. H., Gregory, B. D., and San Wang, L. -, “Using machine learning and high-throughput RNA sequencing to classify the precursors of small non-coding RNAs.”, Methods, vol. 67, no. 1, pp. 28-35, 2014.
Nucleic Acid Conformation
P. Ryvkin, Leung, Y. Yee, Ungar, L. H., Gregory, B. D., and San Wang, L. -, “Using machine learning and high-throughput RNA sequencing to classify the precursors of small non-coding RNAs.”, Methods, vol. 67, no. 1, pp. 28-35, 2014.
RNA
P. Ryvkin, Leung, Y. Yee, Silverman, I. M., Childress, M., Valladares, O., Dragomir, I., Gregory, B. D., and San Wang, L. -, “HAMR: high-throughput annotation of modified ribonucleotides.”, RNA, vol. 19, no. 12, pp. 1684-92, 2013.
RNA Processing, Post-Transcriptional
Y. Yee Leung, Kuksa, P. P., Amlie-Wolf, A., Valladares, O., Ungar, L. H., Kannan, S., Gregory, B. D., and San Wang, L. -, “DASHR: database of small human noncoding RNAs.”, Nucleic Acids Res, vol. 44, no. D1, pp. D216-22, 2016.
Biblio | NIAGADS

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