Multiple Linear Regression for Reconstruction of Gene Regulatory Networks in Solving Cascade Error Problems.

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Multiple Linear Regression for Reconstruction of Gene Regulatory Networks in Solving Cascade Error Problems.

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2017 nî lūn-bûn

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2017年学术文章

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Multiple Linear Regression for ...... olving Cascade Error Problems.

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Multiple Linear Regression for ...... olving Cascade Error Problems.

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Multiple Linear Regression for ...... olving Cascade Error Problems.

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P1476

Multiple Linear Regression for ...... Solving Cascade Error Problems

@en

P2093

Shereena M Arif

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Suhaila Zainudin

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P2860

Large-scale mapping and validation of Escherichia coli transcriptional regulation from a compendium of expression profiles

ARACNE: An Algorithm for the Reconstruction of Gene Regulatory Networks in a Mammalian Cellular Context

Reconstruction of gene co-expression network from microarray data using local expression patterns

Wisdom of crowds for robust gene network inference

Inference of Gene Regulatory Network Based on Local Bayesian Networks

Gene regulatory network modeling via global optimization of high-order dynamic Bayesian network

Comparative study of three commonly used continuous deterministic methods for modeling gene regulation networks

Inference of gene regulatory networks from genome-wide knockout fitness data

Inferring nonlinear gene regulatory networks from gene expression data based on distance correlation.

Reconstructing gene regulatory networks from knock-out data using Gaussian Noise Model and Pearson Correlation Coefficient.

P304

4827171

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P31

scholarly article

P356

10.1155/2017/4827171

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P478

2017

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P50

Faridah Hani Mohamed Salleh

P577

2017-01-29T00:00:00Z

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P698

28250767

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P932

5303608

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