Results 101 to 110 of about 6,871,211 (381)
Decoding the dual role of autophagy in cancer through transcriptional and epigenetic regulation
FEBS Letters, EarlyView.Transcriptional and epigenetic regulation controls autophagy, which exerts context‐dependent effects on cancer: Autophagy suppresses tumorigenesis by maintaining cellular homeostasis or promotes tumor progression by supporting survival under stress. In this “In a Nutshell” article, we explore the intricate mechanisms of the dual function of autophagy ...
Young Suk Yu, Ik Soo Kim, Sung Hee Baek
wiley +1 more source
The Feature Compression Algorithms for Identifying Cytokines Based on CNT Features
IEEE Access, 2020 As the signaling proteins, cytokines regulate a wide range of biological functions. It is important to distinguish the cytokines from other kinds of proteins.
Guilin Li, Xing Gao
doaj +1 more source
Feature and Variable Selection in Classification [PDF]
, 2014 The amount of information in the form of features and variables avail- able to machine learning algorithms is ever increasing. This can lead to classifiers that are prone to overfitting in high dimensions, high di- mensional models do not lend themselves
Karper, Aaron
core
Autophagy in cancer and protein conformational disorders
FEBS Letters, EarlyView.Autophagy plays a crucial role in numerous biological processes, including protein and organelle quality control, development, immunity, and metabolism. Hence, dysregulation or mutations in autophagy‐related genes have been implicated in a wide range of human diseases.
Sergio Attanasio
wiley +1 more source
Clustering based feature selection using Partitioning Around Medoids (PAM)
Jurnal Informatika, 2020 High-dimensional data contains a large number of features. With many features, high dimensional data requires immense computational resources, including space and time.
Dewi Pramudi Ismi, Murinto Murinto
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Feature Selection in k-Median Clustering [PDF]
, 2004 An e ective method for selecting features in clustering unlabeled data is proposed based on changing the objective function of the standard k-median clustering algorithm.
Mangasarian, Olvi, Wild, Edward
core +1 more source
Bayesian reordering model with feature selection
, 2014 In phrase-based statistical machine translation systems, variation in grammatical structures between source and target languages can cause large movements of phrases.
Alrajeh, Abdullah, Niranjan, Mahesan
core +1 more source
A stepwise emergence of evolution in the RNA world
FEBS Letters, EarlyView.How did biological evolution emerge from chemical reactions? This perspective proposes a gradual scenario of self‐organization among RNA molecules, where catalytic feedback on random mixtures plays the central role. Short oligomers cross‐ligate, and self‐assembly enables heritable variations. An event of template‐externalization marks the transition to
Philippe Nghe
wiley +1 more source
On Two-Stage Feature Selection Methods for Text Classification
IEEE Access, 2018 Text classification is a high dimensional pattern recognition problem where feature selection is an important step. Although researchers still propose new feature selection methods, there exist many two-stage feature selection methods combining existing ...
Alper Kursat Uysal
doaj +1 more source
FEBS Letters, EarlyView.UDP‐glucuronic acid 4‐epimerase (UGAepi) catalyzes NAD+‐dependent interconversion of UDP‐glucuronic acid (UDP‐GlcA) and UDP‐galacturonic acid (UDP‐GalA) via C4‐oxidation, 4‐keto‐intermediate rotation, and C4‐reduction. Here, Borg et al. examined the role of the substrate's carboxylate group in the enzymic mechanism by analyzing NADH‐dependent reduction
Annika J. E. Borg +2 more
wiley +1 more source