[HTML][HTML] FSL-Kla: a few-shot learning-based multi-feature hybrid system for lactylation site prediction
As a novel lactate-derived post-translational modification (PTM), lysine lactylation (Kla) is
involved in diverse biological processes, and participates in human tumorigenesis …
involved in diverse biological processes, and participates in human tumorigenesis …
CIRI‐Deep Enables Single‐Cell and Spatial Transcriptomic Analysis of Circular RNAs with Deep Learning
Circular RNAs (circRNAs) are a crucial yet relatively unexplored class of transcripts known
for their tissue‐and cell‐type‐specific expression patterns. Despite the advances in single …
for their tissue‐and cell‐type‐specific expression patterns. Despite the advances in single …
Processing and analysis of RNA-seq data from public resources
Advances in next generation sequencing (NGS) technologies resulted in a broad array of
large-scale gene expression studies and an unprecedented volume of whole messenger …
large-scale gene expression studies and an unprecedented volume of whole messenger …
ESPRESSO: robust discovery and quantification of transcript isoforms from error-prone long-read RNA-seq data
Long-read RNA sequencing (RNA-seq) holds great potential for characterizing
transcriptome variation and full-length transcript isoforms, but the relatively high error rate of …
transcriptome variation and full-length transcript isoforms, but the relatively high error rate of …
DeeReCT-APA: prediction of alternative polyadenylation site usage through deep learning
Alternative polyadenylation (APA) is a crucial step in post-transcriptional regulation.
Previous bioinformatic studies have mainly focused on the recognition of polyadenylation …
Previous bioinformatic studies have mainly focused on the recognition of polyadenylation …
[HTML][HTML] Virtual ChIP-seq: predicting transcription factor binding by learning from the transcriptome
M Karimzadeh, MM Hoffman - Genome Biology, 2022 - Springer
Existing methods for computational prediction of transcription factor (TF) binding sites
evaluate genomic regions with similarity to known TF sequence preferences. Most TF …
evaluate genomic regions with similarity to known TF sequence preferences. Most TF …
The protein‐coding human genome: Annotating high‐hanging fruits
The major transcript variants of human protein‐coding genes are annotated to a certain
degree of accuracy combining manual curation, transcript data, and proteomics evidence …
degree of accuracy combining manual curation, transcript data, and proteomics evidence …
[HTML][HTML] The problem of selection bias in studies of pre-mRNA splicing
ZW Dwyer, JA Pleiss - nature communications, 2023 - nature.com
Here we demonstrate how selection bias in studies of pre-mRNA splicing can inadvertently
lead to inaccurate biological conclusions which nevertheless appear statistically robust. We …
lead to inaccurate biological conclusions which nevertheless appear statistically robust. We …
Alternative splicing analysis benchmark with DICAST
Alternative splicing is a major contributor to transcriptome and proteome diversity in health
and disease. A plethora of tools have been developed for studying alternative splicing in …
and disease. A plethora of tools have been developed for studying alternative splicing in …
Deep-Learning-Assisted multivariate curve resolution
X Fan, P Ma, M Hou, Y Ni, Z Fang, H Lu… - … of Chromatography A, 2021 - Elsevier
Gas chromatography-mass spectrometry (GC-MS) is one of the major platforms for analyzing
volatile compounds in complex samples. However, automatic and accurate extraction of …
volatile compounds in complex samples. However, automatic and accurate extraction of …