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Why web 2.0 is good for learning and for research: principles and prototypes
TLDR
The term "Web 2.0" is used to describe applications that distinguish themselves from previous generations of software by a number of principles. Expand
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Natural Language Inference over Interaction Space
TLDR
We introduce Interactive Inference Network (IIN), a novel class of neural network architectures that is able to achieve high-level understanding of the sentence pair by hierarchically extracting semantic features from interaction space. Expand
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Comparison of RNA-seq and microarray-based models for clinical endpoint prediction
BackgroundGene expression profiling is being widely applied in cancer research to identify biomarkers for clinical endpoint prediction. Since RNA-seq provides a powerful tool for transcriptome-basedExpand
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DRAR-CPI: a server for identifying drug repositioning potential and adverse drug reactions via the chemical–protein interactome
TLDR
In silico predictions of drug–drug associations based on CPI is a novel method which can be simultaneously applied in the prediction of both repositioning and ADR. Expand
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Texture Modeling with Convolutional Spike-and-Slab RBMs and Deep Extensions
TLDR
We apply the spike-and-slab Restricted Boltzmann Machine (ssRBM) to texture modeling. Expand
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A Collaborative Filtering Framework Based on Both Local User Similarity and Global User Similarity
TLDR
In this paper, we introduce the concept of local user similarity and global user similarity, based on surprisal-based vector similarity and the application of maximin distance in graph theory. Expand
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An intelligent tracking system based on internet of things for the cold chain
TLDR
This paper proposes an intelligent tracking system which is designed to achieve effective and fast live monitoring of goods in the cold chain at the lowest cost and with the largest network capacity and simplest protocols. Expand
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Molecular docking to identify associations between drugs and class I human leukocyte antigens for predicting idiosyncratic drug reactions.
Idiosyncratic drug reactions (IDRs) are rare, somewhat dose-independent, patient-specific and hard to predict. Human leukocyte antigens (HLAs) are the major histocompatibility complex (MHC) inExpand
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The ets transcription factor Fli-1 in development, cancer and disease
Friend leukemia virus-induced erythroleukemia-1 (Fli-1), an E26 transformation specific (ETS) transcription factor, was isolated a quarter century ago through a retrovirus mutagenesis screen. Fli-1Expand
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SePreSA: a server for the prediction of populations susceptible to serious adverse drug reactions implementing the methodology of a chemical–protein interactome
TLDR
We use a 2-directional Z-transformation scoring algorithm to predict which populations are likely to be susceptible to SADR. Expand
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