Results 51 to 60 of about 325,176 (282)

TRAIL‐PEG‐Apt‐PLGA nanosystem as an aptamer‐targeted drug delivery system potential for triple‐negative breast cancer therapy using in vivo mouse model

Molecular Oncology, EarlyView.
Aptamers are used both therapeutically and as targeting agents in cancer treatment. We developed an aptamer‐targeted PLGA–TRAIL nanosystem that exhibited superior therapeutic efficacy in NOD/SCID breast cancer models. This nanosystem represents a novel biotechnological drug candidate for suppressing resistance development in breast cancer.
Gulen Melike Demirbolat, Aslihan Kucuk, Omer Erdogan, Samed Ozer, Bensu Kozan, Tugba Cuceli, Erkan Gumus, Evrim Cevik, Ozge Cevik   +8 more
wiley   +1 more source

Abnormal Load Variation Forecasting in Urban Cities Based on Sample Augmentation and TimesNet

Smart Cities
With the evolving urbanization process in modern cities, the tertiary industry load and residential load start to take up a major proportion of the total urban power load.
Yiyan Li, Zizhuo Gao, Zhenghao Zhou, Yu Zhang, Zelin Guo, Zheng Yan   +5 more
doaj   +1 more source

Unsupervised feature learning by augmenting single images [PDF]

, 2014
When deep learning is applied to visual object recognition, data augmentation is often used to generate additional training data without extra labeling cost. It helps to reduce overfitting and increase the performance of the algorithm.
Brox, Thomas, Dosovitskiy, Alexey, Springenberg, Jost Tobias   +2 more
core  

Semi-Supervised Learning by Augmented Distribution Alignment

, 2019
In this work, we propose a simple yet effective semi-supervised learning approach called Augmented Distribution Alignment. We reveal that an essential sampling bias exists in semi-supervised learning due to the limited number of labeled samples, which ...
Li, Wen, Van Gool, Luc, Wang, Qin
core   +1 more source

TADA: phylogenetic augmentation of microbiome samples enhances phenotype classification [PDF]

Bioinformatics, 2019
AbstractMotivationLearning associations of traits with the microbial composition of a set of samples is a fundamental goal in microbiome studies. Recently, machine learning methods have been explored for this goal, with some promise. However, in comparison to other fields, microbiome data are high-dimensional and not abundant; leading to a high ...
Sayyari, Erfan, Kawas, Ban, Mirarab, Siavash   +2 more
openaire   +2 more sources

Data Augmentation with Variational Autoencoders and Manifold Sampling [PDF]

, 2021
We propose a new efficient way to sample from a Variational Autoencoder in the challenging low sample size setting. This method reveals particularly well suited to perform data augmentation in such a low data regime and is validated across various standard and real-life data sets.
Chadebec, Clément, Allassonnière, Stéphanie   +1 more
openaire   +3 more sources

IMPDH inhibition enhances cytarabine efficacy in SAMHD1‐expressing leukaemia cells via guanine nucleotide depletion

Molecular Oncology, EarlyView.
Cytarabine is a key therapy for acute myeloid leukaemia (AML), but its efficacy is limited by the dNTPase SAMHD1, which hydrolyses its active metabolite. Screening nucleotide biosynthesis inhibitors revealed that IMPDH inhibitors selectively sensitise SAMHD1‐proficient AML cells to cytarabine.
Miriam Yagüe‐Capilla, Christopher Dirks, Caroline Eiden, Sonja K. Fesenmayer, Femke M. Hormann, Yolande Klootsema, Ingrid Lilienthal, Si Min Zhang, Nikolas Herold, Sean G. Rudd   +9 more
wiley   +1 more source

Fault State Identification Method with Noise Robustness of Dry Gas Seals Based on Sample-Augmented MA1D-ResNet

Sensors
Dry gas seals are widely used in the petrochemical industry for shaft end sealing of compressors, pumps and other equipment involving flammable, explosive, toxic and harmful media.
Jinlin Chen, Jiahao Li, Xuexing Ding, Wei Xu, Pengju Li, Zhihao Xia   +5 more
doaj   +1 more source

ECGAN: An Improved Conditional Generative Adversarial Network With Edge Detection to Augment Limited Training Data for the Classification of Remote Sensing Images With High Spatial Resolution

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
The classification of remote sensing images with high spatial resolution requires considerable training samples, but the process of sample making is slow and laborious.
Baikai Sui, Tao Jiang, Zhen Zhang, Xinliang Pan   +3 more
doaj   +1 more source

Auxiliary-variable Exact Hamiltonian Monte Carlo Samplers for Binary Distributions [PDF]

, 2015
We present a new approach to sample from generic binary distributions, based on an exact Hamiltonian Monte Carlo algorithm applied to a piecewise continuous augmentation of the binary distribution of interest.
Pakman, Ari, Paninski, Liam
core