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Literature DB >> 20354511

Predicting causal effects in large-scale systems from observational data.

Marloes H Maathuis, Diego Colombo, Markus Kalisch, Peter Bühlmann.

Abstract

Mesh：

Year: 2010 PMID： 20354511 DOI： 10.1038/nmeth0410-247

Source DB: PubMed Journal: Nat Methods ISSN： 1548-7091 Impact factor: 28.547

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2 in total

1. Functional discovery via a compendium of expression profiles.

Authors: T R Hughes; M J Marton; A R Jones; C J Roberts; R Stoughton; C D Armour; H A Bennett; E Coffey; H Dai; Y D He; M J Kidd; A M King; M R Meyer; D Slade; P Y Lum; S B Stepaniants; D D Shoemaker; D Gachotte; K Chakraburtty; J Simon; M Bard; S H Friend
Journal: Cell Date: 2000-07-07 Impact factor: 41.582

2. Generating realistic in silico gene networks for performance assessment of reverse engineering methods.

Authors: Daniel Marbach; Thomas Schaffter; Claudio Mattiussi; Dario Floreano
Journal: J Comput Biol Date: 2009-02 Impact factor: 1.479

2 in total

50 in total

1. Comment on: 'Anterior cruciate ligament reconstruction performed within 12 months of the index injury is associated with a lower rate of medial meniscus tears' by Mok et al.

Authors: B Oole; D E Meuffels; E H G Oei; J Runhaar
Journal: Knee Surg Sports Traumatol Arthrosc Date: 2018-12-03 Impact factor: 4.342

2. Widespread Dysregulation of Long Noncoding Genes Associated With Fatty Acid Metabolism, Cell Division, and Immune Response Gene Networks in Xenobiotic-exposed Rat Liver.

Authors: Kritika Karri; David J Waxman
Journal: Toxicol Sci Date: 2020-04-01 Impact factor: 4.849

Predicting causal effects in large-scale systems from observational data.

1. Functional discovery via a compendium of expression profiles.

2. Generating realistic in silico gene networks for performance assessment of reverse engineering methods.

1. Comment on: 'Anterior cruciate ligament reconstruction performed within 12 months of the index injury is associated with a lower rate of medial meniscus tears' by Mok et al.

2. Widespread Dysregulation of Long Noncoding Genes Associated With Fatty Acid Metabolism, Cell Division, and Immune Response Gene Networks in Xenobiotic-exposed Rat Liver.

3. Inferring condition-specific miRNA activity from matched miRNA and mRNA expression data.

4. Methods for causal inference from gene perturbation experiments and validation.

5. Estimating bounds on causal effects in high-dimensional and possibly confounded systems.

6. Estimating Causal Effects with Ancestral Graph Markov Models.

7. Reconstruction of Networks with Direct and Indirect Genetic Effects.

8. Deep learning for inferring gene relationships from single-cell expression data.

9. Rough set soft computing cancer classification and network: one stone, two birds.

Review 10. Computational solutions for omics data.