Non-coding RNAs in psychiatric disorders and suicidal behavior
Y Yoshino, Y Dwivedi - Frontiers in psychiatry, 2020 - frontiersin.org
It is well known that only a small proportion of the human genome code for proteins; the rest
belong to the family of RNAs that do not code for protein and are known as non-coding …
belong to the family of RNAs that do not code for protein and are known as non-coding …
Long Non-Coding RNAs and their potential roles in the vector–host–pathogen triad
Long non-coding (lnc) RNAs have emerged as critical regulators of gene expression and
are involved in almost every cellular process. They can bind to other molecules including …
are involved in almost every cellular process. They can bind to other molecules including …
A deep learning approach to programmable RNA switches
NM Angenent-Mari, AS Garruss, LR Soenksen… - Nature …, 2020 - nature.com
Engineered RNA elements are programmable tools capable of detecting small molecules,
proteins, and nucleic acids. Predicting the behavior of these synthetic biology components …
proteins, and nucleic acids. Predicting the behavior of these synthetic biology components …
[HTML][HTML] Evaluation of deep learning in non-coding RNA classification
Non-coding (nc) RNA plays a vital role in biological processes and has been associated
with diseases such as cancer. Classification of ncRNAs is necessary for understanding the …
with diseases such as cancer. Classification of ncRNAs is necessary for understanding the …
MNet-10: A robust shallow convolutional neural network model performing ablation study on medical images assessing the effectiveness of applying optimal data …
Interpretation of medical images with a computer-aided diagnosis (CAD) system is arduous
because of the complex structure of cancerous lesions in different imaging modalities, high …
because of the complex structure of cancerous lesions in different imaging modalities, high …
GraphPart: homology partitioning for biological sequence analysis
F Teufel, MH Gíslason… - NAR genomics and …, 2023 - academic.oup.com
When splitting biological sequence data for the development and testing of predictive
models, it is necessary to avoid too-closely related pairs of sequences ending up in different …
models, it is necessary to avoid too-closely related pairs of sequences ending up in different …
[HTML][HTML] CirRNAPL: a web server for the identification of circRNA based on extreme learning machine
Circular RNA (circRNA) plays an important role in the development of diseases, and it
provides a novel idea for drug development. Accurate identification of circRNAs is important …
provides a novel idea for drug development. Accurate identification of circRNAs is important …
ncRDeep: Non-coding RNA classification with convolutional neural network
A non-coding RNA (ncRNA) is a kind of RNA that is not converted into protein, however, it is
involved in many biological processes, diseases, and cancers. Numerous ncRNAs have …
involved in many biological processes, diseases, and cancers. Numerous ncRNAs have …
Prediction of plant lncRNA by ensemble machine learning classifiers
CMA Simopoulos, EA Weretilnyk, GB Golding - BMC genomics, 2018 - Springer
Background In plants, long non-protein coding RNAs are believed to have essential roles in
development and stress responses. However, relative to advances on discerning biological …
development and stress responses. However, relative to advances on discerning biological …
Tuning the performance of synthetic riboswitches using machine learning
AC Groher, S Jager, C Schneider, F Groher… - ACS synthetic …, 2018 - ACS Publications
Riboswitch development for clinical, technological, and synthetic biology applications
constantly seeks to optimize regulatory behavior. Here, we present a machine learning …
constantly seeks to optimize regulatory behavior. Here, we present a machine learning …