Results 81 to 90 of about 208,150 (274)
Molecular Oncology, EarlyView.To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley +1 more source
Associative learning of concepts
Computer Assisted Methods in Engineering and Science, 2022 Humans find it extremely easy to say if two words are related or if one word is more related to a given word than another one. For example, if we come across two words - 'car' and 'bicycle', we know they are related since both are means of transport ...
Viliam Rockai, Robert Kende
doaj
Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers
Molecular Oncology, EarlyView.This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel +6 more
wiley +1 more source
Learning with naturalistic odor representations in a dynamic model of the Drosophila olfactory system [PDF]
, 2019 Many odor receptors in the insect olfactory system are broadly tuned, yet insects can form associative memories that are odor-specific. The key site of associative olfactory learning in insects, the mushroom body, contains a population of Kenyon Cells ...
Kennedy, Ann
core
Molecular Oncology, EarlyView.Aldehyde dehydrogenase 1A1 (ALDH1A1) is a cancer stem cell marker in several malignancies. We established a novel epithelial cell line from rectal adenocarcinoma with unique overexpression of this enzyme. Genetic attenuation of ALDH1A1 led to increased invasive capacity and metastatic potential, the inhibition of proliferation activity, and ultimately ...
Martina Poturnajova +25 more
wiley +1 more source
ROLES OF DISTINCT AMYGDALAR PARVALBUMIN INTERNEURON TYPES IN REGULATING FEAR AND ANXIETY
IBRO Neuroscience Reports, 2023 Cloé Lheraux +7 more
doaj +1 more source
Associative memory cells and their working principle in the brain [version 1; referees: 2 approved]
F1000Research, 2018 The acquisition, integration and storage of exogenous associated signals are termed as associative learning and memory. The consequences and processes of associative thinking and logical reasoning based on these stored exogenous signals can be memorized ...
Jin-Hui Wang, Shan Cui
doaj +1 more source
VLSI implementation of a transconductance mode continuous BAM with on chip learning and dynamic analog memory [PDF]
, 1991 In this paper we present a complete VLSI Continuous-Time Bidirectional Associative Memory (BAM). The short term memory (STM) section is implemented using small transconductance four quadrant multipliers, and capacitors for the integrators.
Huertas Díaz, José Luis +3 more
core +1 more source
Rethinking plastic waste: innovations in enzymatic breakdown of oil‐based polyesters and bioplastics
FEBS Open Bio, EarlyView.Plastic pollution remains a critical environmental challenge, and current mechanical and chemical recycling methods are insufficient to achieve a fully circular economy. This review highlights recent breakthroughs in the enzymatic depolymerization of both oil‐derived polyesters and bioplastics, including high‐throughput protein engineering, de novo ...
Elena Rosini +2 more
wiley +1 more source
F1000Research, 2019 The acquisition of associated signals is commonly seen in life. The integrative storage of these exogenous and endogenous signals is essential for cognition, emotion and behaviors.
Jin-Hui Wang
doaj +1 more source