Computational analyses of non-canonical architectural and structural features associated with alternative splicing
GE Parada Gonzalez - 2021 - repository.cam.ac.uk
Splicing of nuclear introns is catalysed by the spliceosome, one of the most complex
macromolecular machines currently known. Even though the canonical splicing signals that …
macromolecular machines currently known. Even though the canonical splicing signals that …
[图书][B] Machine Learning Strategies for Alternative Splicing
Z Pan - 2021 - search.proquest.com
Alternative splicing (AS) is a fundamental biological process that diversifies the
transcriptomes and proteomes. Aberrant splicing is the main cause of rare diseases and …
transcriptomes and proteomes. Aberrant splicing is the main cause of rare diseases and …
[PDF][PDF] 2019 YEAR IN REVIEW: MACHINE LEARNING IN HEALTHCARE
We present a synopsis of publications focused on machine learning (ML) or artificial
intelligence (AI) applications in healthcare for the year 2019. We appreciate the work of …
intelligence (AI) applications in healthcare for the year 2019. We appreciate the work of …
Long non-coding RNA functional annotation: machine learning approaches
Y Zhang - 2021 - dr.ntu.edu.sg
Long Non-coding RNAs (lncRNAs) play crucial roles in complex pathological and
physiological processes. However, only a few of lncRNAs are well characterized. lncRNA …
physiological processes. However, only a few of lncRNAs are well characterized. lncRNA …
Systems biology of deregulated splicing in cancer. A pan-cancer analysis of dysfunctional splicing machinery and alternative splicing events.
L Castillon - 2021 - odr.chalmers.se
The deregulation or disruption of the splicing process has been shown to play a role in the
onset, development, and even response to treatment of some malignancies. Partly due to …
onset, development, and even response to treatment of some malignancies. Partly due to …
Bridging Paired-end RNA-seq reads
X Li - 2021 - etda.libraries.psu.edu
The widely-used high-throughput RNA-sequencing technologies (RNA-seq) usually
produce paired-end reads. We explore if full fragments can be computationally …
produce paired-end reads. We explore if full fragments can be computationally …
Statistical Methods for the Analysis of Multi-Omics and Multi-Study Datasets
S McCabe - 2020 - search.proquest.com
The generation of multiple, large scale genomic datasets has become increasingly common
in biological and biomedical research. These datasets can be collected for a common set of …
in biological and biomedical research. These datasets can be collected for a common set of …
ACTOR: a latent Dirichlet model to compare expressed isoform proportions to a reference panel
The relative proportion of RNA isoforms expressed for a given gene has been associated
with disease states in cancer, retinal diseases, and neurological disorders. Examination of …
with disease states in cancer, retinal diseases, and neurological disorders. Examination of …
[PDF][PDF] Dr Laura Blackburn, Dr Emma Johnson, Alison Hall and Dr Mark Kroese at the PHG Foundation guided, reviewed and provided constructive input into this …
S Raza - 2020 - phgfoundation.org
Phenotyping 2 4 Rare diseases 2 7 Cancers 2 7 Applications of machine learning and deep
learning 2 7 Genomic sequence data processing 2 8 Analysis and interpretation 3 0 …
learning 2 7 Genomic sequence data processing 2 8 Analysis and interpretation 3 0 …