منابع مشابه
When Naı̈ve Bayes Nearest Neighbors Meet Convolutional Neural Networks
Since Convolutional Neural Networks (CNNs) have become the leading learning paradigm in visual recognition, Naive Bayes Nearest Neighbor (NBNN)-based classifiers have lost momentum in the community. This is because (1) such algorithms cannot use CNN activations as input features; (2) they cannot be used as final layer of CNN architectures for end-to-end training , and (3) they are generally not...
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Proximity-dependent biotin identification (BioID) is a recently developed method that allows the identification of proteins in the close vicinity of a protein of interest in living cells. BioID relies on fusion of the protein of interest with a mutant form of the biotin ligase enzyme BirA (BirA*) that is capable of promiscuously biotinylating proximal proteins irrespective of whether these inte...
متن کاملRich Neighbors
Theories of economic development suggest variously that national income increases or decreases the propensity for states to fight, while systematic evidence of the impact of development on warfare is ambiguous or non-existent. The lack of empirical support for nominally opposing claims can be reconciled if elements of both sets of arguments are partially correct. We use a formal model to constr...
متن کاملMeet the Editorial Board
Celine Lefebvre is a computational biologist with research goals directed towards the identification of biomarkers and therapeutic targets for cancer by developing innovative statistical and computational methods. Specialist of the inference and interrogation of gene regulatory networks, she has developed a method for the identification of master regulators of physiological and pathological cel...
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ژورنال
عنوان ژورنال: Journal of Cell Biology
سال: 2012
ISSN: 1540-8140,0021-9525
DOI: 10.1083/jcb.1966iti3