Results 81 to 90 of about 1,060,544 (307)
Deep Learning in Bioinformatics [PDF]
In the era of big data, transformation of biomedical big data into valuable knowledge has been one of the most important challenges in bioinformatics. Deep learning has advanced rapidly since the early 2000s and now demonstrates state-of-the-art performance in various fields.
arxiv
GPU cards as a low cost solution for efficient and fast classification of high dimensional gene expression datasets [PDF]
The days when bioinformatics tools will be so reliable to become a standard aid in routine clinical diagnostics are getting very close. However, it is important to remember that the more complex and advanced bioinformatics tools become, the more ...
Benso, Alfredo+4 more
core
MiR‐99a‐5p/miR‐100‐5p (functionally identical) and miR‐125b‐5p microRNAs are downregulated in malignant germ cell tumors (GCTs). Combination replenishment of these microRNAs using mimics resulted in growth inhibition in representative cell lines, with consequent downregulation of target genes involved in cell cycle (confirmed by flow cytometry) and ...
Marta Ferraresso+12 more
wiley +1 more source
Bioinformatics core competencies for undergraduate life sciences education.
Although bioinformatics is becoming increasingly central to research in the life sciences, bioinformatics skills and knowledge are not well integrated into undergraduate biology education. This curricular gap prevents biology students from harnessing the
Melissa A Wilson Sayres+33 more
doaj +1 more source
Integration of Biological Sources: Exploring the Case of Protein Homology [PDF]
Data integration is a key issue in the domain of bioin- formatics, which deals with huge amounts of heteroge- neous biological data that grows and changes rapidly.
Boerman, Tjeerd W.+3 more
core +2 more sources
We assessed the associations between the gut microbiota and outcome in metastatic triple‐negative breast cancer patients treated with chemotherapy alone or chemotherapy in combination with immunotherapy. Our data indicate that high gut microbiota alpha diversity was associated with improved clinical outcome and with benefit from immunotherapy.
Andreas Ullern+8 more
wiley +1 more source
Venomics is a modern approach that combines transcriptomics and proteomics to explore the toxin content of venoms. This review will give an overview of computational approaches that have been created to classify and consolidate venomics data, as well as ...
Quentin Kaas, David J. Craik
doaj +1 more source
The theoretical analysis of sequencing bioinformatics algorithms and beyond [PDF]
The theoretical analysis of performance has been an important tool in the engineering of algorithms in many application domains. Its goals are to predict the empirical performance of an algorithm and to be a yardstick that drives the design of novel algorithms that perform well in practice.
arxiv
Simulated single molecule microscopy with SMeagol
SMeagol is a software tool to simulate highly realistic microscopy data based on spatial systems biology models, in order to facilitate development, validation, and optimization of advanced analysis methods for live cell single molecule microscopy data ...
Boucharin, Alexis+4 more
core +2 more sources
This study simultaneously investigated circulating tumor cells (CTCs) and exosomes from small‐cell lung cancer (SCLC) patients. The elevated expression of JUNB and CXCR4 in CTCs was a poor prognostic factor for SCLC patients, whereas exosomal overexpression of these biomarkers revealed a high discrimination ability of patients from healthy individuals,
Dimitrios Papakonstantinou+13 more
wiley +1 more source