[HTML][HTML] MicroRNAs: new biomarkers for diagnosis, prognosis, therapy prediction and therapeutic tools for breast cancer
Dysregulation of microRNAs (miRNAs) is involved in the initiation and progression of
several human cancers, including breast cancer (BC), as strong evidence has been found …
several human cancers, including breast cancer (BC), as strong evidence has been found …
One-class classification: taxonomy of study and review of techniques
One-class classification (OCC) algorithms aim to build classification models when the
negative class is either absent, poorly sampled or not well defined. This unique situation …
negative class is either absent, poorly sampled or not well defined. This unique situation …
TULIP: A transformer-based unsupervised language model for interacting peptides and T cell receptors that generalizes to unseen epitopes
B Meynard-Piganeau, C Feinauer… - Proceedings of the …, 2024 - National Acad Sciences
The accurate prediction of binding between T cell receptors (TCR) and their cognate
epitopes is key to understanding the adaptive immune response and developing …
epitopes is key to understanding the adaptive immune response and developing …
Machine learning for big data analytics in plants
Rapid advances in high-throughput genomic technology have enabled biology to enter the
era of 'Big Data'(large datasets). The plant science community not only needs to build its …
era of 'Big Data'(large datasets). The plant science community not only needs to build its …
Automated biosignal quality analysis for electromyography using a one-class support vector machine
This paper introduces the importance of biosignal quality assessment and presents a pattern
classification approach to differentiate clean from contaminated electromyography (EMG) …
classification approach to differentiate clean from contaminated electromyography (EMG) …
A review of computational tools in microRNA discovery
Since microRNAs (miRNAs) were discovered, their impact on regulating various biological
activities has been a surprising and exciting field. Knowing the entire repertoire of these …
activities has been a surprising and exciting field. Knowing the entire repertoire of these …
On protocols and measures for the validation of supervised methods for the inference of biological networks
Networks provide a natural representation of molecular biology knowledge, in particular to
model relationships between biological entities such as genes, proteins, drugs, or diseases …
model relationships between biological entities such as genes, proteins, drugs, or diseases …
Integrating genetics and epigenetics in breast cancer: biological insights, experimental, computational methods and therapeutic potential
Background Development of human cancer can proceed through the accumulation of
different genetic changes affecting the structure and function of the genome. Combined …
different genetic changes affecting the structure and function of the genome. Combined …
The discovery approaches and detection methods of microRNAs
Y Huang, Q Zou, SP Wang, SM Tang, GZ Zhang… - Molecular biology …, 2011 - Springer
MicroRNAs (miRNAs) are small, highly conserved, non-coding RNAs that regulate gene
expression of target mRNAs through cleavage or translational inhibition. Computer-based …
expression of target mRNAs through cleavage or translational inhibition. Computer-based …
A study of microRNAs in silico and in vivo: bioinformatics approaches to microRNA discovery and target identification
The discovery that microRNAs (miRNAs) are synthesized as hairpin‐containing precursors
and share many features has stimulated the development of several computational …
and share many features has stimulated the development of several computational …