Zobrazeno 1 - 10
of 58 145
pro vyhledávání: '"Quantitative methods"'
Autor:
David, Jaroslav, 1975-
Resistance to therapy remains a significant challenge in cancer treatment, often due to the presence of a stem-like cell population that drives tumor recurrence post-treatment. Moreover, many anticancer drugs inadvertently induce plasticity, revertin
Externí odkaz:
http://arxiv.org/abs/2409.18879
Autor:
Antoniali, Fabiana, Conza, Maria Luisa, Conventi, Francesco Alessandro, Cirotto, Francesco, D'Avanzo, Antonio, De Iorio, Agostino, De Iorio, Annalisa, Formicola, Nunzia, Forte, Manuela, Miele, Federica, Perna, Giovanni, Rossi, Biagio, Rossi, Elvira
In this paper, a statistical analysis of the performance of a low insulin index, alkaline and functional diet developed by ANTUR evaluated with machine learning techniques is reported. The sample of patients was checked on a regular basis with a BioI
Externí odkaz:
http://arxiv.org/abs/2409.18221
Predicting protein functional characteristics from structure remains a central problem in protein science, with broad implications from understanding the mechanisms of disease to designing novel therapeutics. Unfortunately, current machine learning m
Externí odkaz:
http://arxiv.org/abs/2409.18201
The application of Shapley values to high-dimensional, time-series-like data is computationally challenging - and sometimes impossible. For $N$ inputs the problem is $2^N$ hard. In image processing, clusters of pixels, referred to as superpixels, are
Externí odkaz:
http://arxiv.org/abs/2409.18156
Generating protein sequences conditioned on protein structures is an impactful technique for protein engineering. When synthesizing engineered proteins, they are commonly translated into DNA and expressed in an organism such as yeast. One difficulty
Externí odkaz:
http://arxiv.org/abs/2409.17265
In cytometry, it is difficult to disentangle the contributions of population variance and instrument noise towards total measured variation. Fundamentally, this is due to the fact that one cannot measure the same particle multiple times. We propose a
Externí odkaz:
http://arxiv.org/abs/2409.17017
Publikováno v:
International Conference on NeuroRehabilitation, Nov 2024, La granja, Spain
This study introduces i-GRIP, an innovative movement goal estimator designed to facilitate the control of assistive devices for grasping tasks in individuals with upperlimb impairments. The algorithm operates within a collaborative control paradigm,
Externí odkaz:
http://arxiv.org/abs/2409.16692
Autor:
Reyna, Matthew A., Deepanshi, Weigle, James, Koscova, Zuzana, Campbell, Kiersten, Shivashankara, Kshama Kodthalu, Saghafi, Soheil, Nikookar, Sepideh, Motie-Shirazi, Mohsen, Kiarashi, Yashar, Seyedi, Salman, Clifford, Gari D., Sameni, Reza
We introduce the ECG-Image-Database, a large and diverse collection of electrocardiogram (ECG) images generated from ECG time-series data, with real-world scanning, imaging, and physical artifacts. We used ECG-Image-Kit, an open-source Python toolkit
Externí odkaz:
http://arxiv.org/abs/2409.16612