Given the above observations, we decided to use only the classifier trained with structure filter for a non-coding RNA screen on the genome of D. melanogaster.
Furthermore, we showcase the usage of our software package in a full-genome screen of Drosophila melanogaster and evaluate our results against the well-known ...
We present here a software framework for the alignment-based training, evaluation and application of machine learning models with user-defined parameters.
Aug 23, 2023 · Tailored machine learning models for functional RNA detection in genome-wide screens ; Fe Institute, 1399 Hyde Park Rd., Santa Fe NM 97501, USA.
Furthermore, we showcase the usage of our software package in a full-genome screen of Drosophila melanogaster and evaluate our results against the well-known ...
We present here a software framework for the alignment-based training, evaluation and application of machine learning models with user-defined parameters.
Furthermore, we showcase the usage of our software package in a full-genome screen of Drosophila melanogaster and evaluate our results against the well-known ...
A software framework for the alignment-based training, evaluation and application of machine learning models with user-defined parameters for the structured ...
BIOINF 22-003: Tailored machine learning models for functional RNA detection in genome wide screens. Christopher Klapproth, Siegfried Zöztsche, Felix Kühnl ...
Feb 17, 2022 · DeepGuide uses unsupervised learning to obtain a compressed representation of the genome, followed by supervised learning to map sgRNA sequence, ...
Missing: Tailored detection