Zobrazeno 1 - 10
of 87 949
pro vyhledávání: '"quantitative biology"'
Accurate survival prediction is essential for personalized cancer treatment. However, genomic data - often a more powerful predictor than pathology data - is costly and inaccessible. We present the cross-modal genomic feature translation and alignmen
Externí odkaz:
http://arxiv.org/abs/2411.00749
Long-time series of neuronal recordings are resulting from the activity of connected neuronal networks. Yet how neuronal properties can be extracted remains empirical. We review here the data analysis based on network models to recover physiological
Externí odkaz:
http://arxiv.org/abs/2411.00545
Autor:
Renz, Jessica, Dauda, Kazeem A., Aga, Olav N. L., Diaz-Uriarte, Ramon, Löhr, Iren H., Blomberg, Bjørn, Johnston, Iain G.
Can we understand and predict the evolutionary pathways by which bacteria acquire multi-drug resistance (MDR)? These questions have substantial potential impact in basic biology and in applied approaches to address the global health challenge of anti
Externí odkaz:
http://arxiv.org/abs/2411.00219
Autor:
Maarleveld, R., Veeger, H. E. J., van der Helm, F. C. T., Son, J., Lieber, R. L., van der Kruk, E.
Musculoskeletal (MSK) models offer a non-invasive way to understand biomechanical loads on joints and tendons, which are difficult to measure directly. Variations in muscle strength, especially relative differences between muscles, significantly impa
Externí odkaz:
http://arxiv.org/abs/2411.00071
We describe OHBA Software Library for the analysis of electrophysiological data (osl-ephys). This toolbox builds on top of the widely used MNE-Python package and provides unique analysis tools for magneto-/electro-encephalography (M/EEG) sensor and s
Externí odkaz:
http://arxiv.org/abs/2410.22051
The analysis of neural power spectra plays a crucial role in understanding brain function and dysfunction. While recent efforts have led to the development of methods for decomposing spectral data, challenges remain in performing statistical analysis
Externí odkaz:
http://arxiv.org/abs/2410.20896
Data science plays a critical role in clinical research, but it requires professionals with expertise in coding and medical data analysis. Large language models (LLMs) have shown great potential in supporting medical tasks and performing well in gene
Externí odkaz:
http://arxiv.org/abs/2410.21591
Autor:
Gallagher-Syed, Amaya, Pontarini, Elena, Lewis, Myles J., Barnes, Michael R., Slabaugh, Gregory
This study evaluates the generalisation capabilities of state-of-the-art histopathology foundation models on out-of-distribution multi-stain autoimmune Immunohistochemistry datasets. We compare 13 feature extractor models, including ImageNet-pretrain
Externí odkaz:
http://arxiv.org/abs/2410.21560
One of goals in soft robotics is to achive spontaneous behavior like real organisms. To gain a clue to achieve this, we examined the long (16-hour) spontaneous exploratory locomotion of snails. The active forager snail, Tegula nigerrima, from an inte
Externí odkaz:
http://arxiv.org/abs/2410.21090
Autor:
Datta, Sujit S.
The following is an unedited version of two short articles that are forthcoming in Nature Chemical Engineering. Inspired by Purcell's classic lecture "Life at low Reynolds number", I discuss how scaling arguments, dimensional analysis, and fundamenta
Externí odkaz:
http://arxiv.org/abs/2410.20648