Keyword search (4,164 papers available)

"inference" Keyword-tagged Publications:

Title Authors PubMed ID
1 Exploiting fluctuations in gene expression to detect causal interactions between genes Joly-Smith E; Talpur MM; Allard P; Papazotos F; Potvin-Trottier L; Hilfinger A; 41401079
BIOLOGY
2 Deep clustering analysis via variational autoencoder with Gamma mixture latent embeddings Guo J; Fan W; Amayri M; Bouguila N; 39662201
ENCS
3 A Survey on Error Exponents in Distributed Hypothesis Testing: Connections with Information Theory, Interpretations, and Applications Espinosa S; Silva JF; Céspedes S; 39056958
ENCS
4 Development and performance assessment of a new opensource Bayesian inference R platform for building energy model calibration Hou D; Zhan D; Wang L; Hassan IG; Sezer N; 37936825
ENCS
5 The Convergence Model of Brain Reward Circuitry: Implications for Relief of Treatment-Resistant Depression by Deep-Brain Stimulation of the Medial Forebrain Bundle Pallikaras V; Shizgal P; 35431828
PSYCHOLOGY
6 Anterior cingulate neurons signal neutral cue pairings during sensory preconditioning Hart EE; Gardner MPH; Schoenbaum G; 34936884
PSYCHOLOGY
7 Bayesian Learning of Shifted-Scaled Dirichlet Mixture Models and Its Application to Early COVID-19 Detection in Chest X-ray Images Bourouis S; Alharbi A; Bouguila N; 34460578
ENCS
8 Exploring the decentralized treatment of sulfamethoxazole-contained poultry wastewater through vertical-flow multi-soil-layering systems in rural communities. Song P, Huang G, An C, Xin X, Zhang P, Chen X, Ren S, Xu Z, Yang X 33065414
ENCS
9 BENIN: Biologically enhanced network inference. Wonkap SK, Butler G 32698722
ENCS
10 Adaptive Neuro-fuzzy Inference System Trained for Sizing Semi-elliptical Notches Scanned by Eddy Currents. Mohseni E, Viens M, Xie WF 31929668
ENCS

 

Title:BENIN: Biologically enhanced network inference.
Authors:Wonkap SK,  Butler G
Link:https://www.ncbi.nlm.nih.gov/pubmed/32698722
DOI:10.1142/S0219720020400077
Publication:Journal of bioinformatics and computational biology
Keywords:Gene regulatory network;  data integration;  elastic net;  feature selection;  network inference; 
PMID:32698722 Category:J Bioinform Comput Biol Date Added:2020-07-24
Dept Affiliation: ENCS
1 Computer Science and Software Engineering, Concordia University, 1455 Boulevard de Maisonneuve Ouest, Montreal, Quebec H3G1M8, Canada.

Description:

BENIN: Biologically enhanced network inference.

J Bioinform Comput Biol. 2020 Jun;18(3):2040007

Authors: Wonkap SK, Butler G

Abstract

Gene regulatory network inference is one of the central problems in computational biology. We need models that integrate the variety of data available in order to use their complementarity information to overcome the issues of noisy and limited data. BENIN: Biologically Enhanced Network INference is our proposal to integrate data and infer more accurate networks. BENIN is a general framework that jointly considers different types of prior knowledge with expression datasets to improve the network inference. The method states the network inference as a feature selection problem and uses a popular penalized regression method, the Elastic net, combined with bootstrap resampling to solve it. BENIN significantly outperforms the state-of-the-art methods on the simulated data from the DREAM 4 challenge when combining genome-wide location data, knockout gene expression data, and time series expression data.

PMID: 32698722 [PubMed - in process]




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