SBSM-pro: support bio-sequence machine for proteins
Proteins play a pivotal role in biological systems. The use of machine learning algorithms for
protein classification can assist and even guide biological experiments, offering crucial …
protein classification can assist and even guide biological experiments, offering crucial …
[HTML][HTML] Small molecule-mediated targeting of microRNAs for drug discovery: experiments, computational techniques, and disease implications
Small molecules have been providing medical breakthroughs for human diseases for more
than a century. Recently, identifying small molecule inhibitors that target microRNAs …
than a century. Recently, identifying small molecule inhibitors that target microRNAs …
Cellenboost: a boosting-based ligand-receptor interaction identification model for cell-to-cell communication inference
Cell-to-cell communication (CCC) plays important roles in multicellular organisms. The
identification of communication between cancer cells themselves and one between cancer …
identification of communication between cancer cells themselves and one between cancer …
RPI-CapsuleGAN: Predicting RNA-protein interactions through an interpretable generative adversarial capsule network
ABSTRACT RNA-protein interactions (RPI) play a crucial regulatory role in cellular
physiological processes. The study and prediction of RPIs can be insightful for exploring …
physiological processes. The study and prediction of RPIs can be insightful for exploring …
An ensemble of stacking classifiers for improved prediction of miRNA–mRNA interactions
MicroRNAs (miRNAs) are small non-coding RNA molecules that play a crucial role in
regulating gene expression at the post-transcriptional level by binding to potential target …
regulating gene expression at the post-transcriptional level by binding to potential target …
Analysis approaches for the identification and prediction of N6-methyladenosine sites
Y Yang, Z Liu, J Lu, Y Sun, Y Fu, M Pan, X Xie, Q Ge - Epigenetics, 2023 - Taylor & Francis
The global dynamics in a variety of biological processes can be revealed by mapping
transcriptional m6A sites, in particular full-transcriptome m6A. And individual m6A sites have …
transcriptional m6A sites, in particular full-transcriptome m6A. And individual m6A sites have …
DNA-MP: a generalized DNA modifications predictor for multiple species based on powerful sequence encoding method
M Nabeel Asim, M Ali Ibrahim, A Fazeel… - Briefings in …, 2023 - academic.oup.com
Accurate prediction of deoxyribonucleic acid (DNA) modifications is essential to explore and
discern the process of cell differentiation, gene expression and epigenetic regulation …
discern the process of cell differentiation, gene expression and epigenetic regulation …
The technological emergence of automl: A survey of performant software and applications in the context of industry
A Scriven, DJ Kedziora, K Musial… - … and Trends® in …, 2023 - nowpublishers.com
With most technical fields, there exists a delay between fundamental academic research and
practical industrial uptake. Whilst some sciences have robust and well-established …
practical industrial uptake. Whilst some sciences have robust and well-established …
[HTML][HTML] New boosting approaches for improving cluster-based undersampling in problems with imbalanced data
IA Khandokar, S Shatabda - Decision Analytics Journal, 2023 - Elsevier
Class unbalanced datasets are frequently encountered in a variety of areas including health,
security, and finance. Often these datasets create bias in the supervised learning models …
security, and finance. Often these datasets create bias in the supervised learning models …
DeepImmuno-PSSM: Identification of Immunoglobulin based on Deep learning and PSSM-Profiles
Immunoglobulin has a close connection to a number of disorders and is important in both
biological and medicinal contexts. Therefore, it is crucial for illness research to employ …
biological and medicinal contexts. Therefore, it is crucial for illness research to employ …