Seiya Imoto

Statistics and Probability · 2001–2021

A researcher in the Science corpus: 7 papers; trusts 3 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 12 citations into it; #8,037 of 12,932 by trust here, #8,740 by citations
• Artificial Intelligence — 6 citations into it; #21,993 of 35,345 by trust here, #29,412 by citations
• Information Theory — 6 citations into it

Whom Seiya Imoto trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Bernard Walter Silverman
2. Grace Wahba
3. Bradley Efron
4. Brian S. Yandell
5. John A. Nelder
6. Charles M. Bishop
7. Eric R. Ziegel
8. Hirotugu Akaike
9. David S. Broomhead
10. Huaiyu Zhu

Who trusts Seiya Imoto overall

1. Christopher Nowzohour
2. Matthew James Vowels
3. Rónán Daly
4. Biwei Huang
5. Peter Buhlmann
6. Guy Karlebach
7. Chris J. Oates
8. Necati Cihan Camgöz
9. Qiang Shen
10. Kun Zhang

Papers from Seiya Imoto's perspective

Ordered by how strongly the researchers Seiya Imoto trusts endorse each paper. Same corpus, a different order for every researcher.

1. Smoothing noisy data with spline functions
2. A Practical Guide to Splines
3. Generalized Linear Models
4. Some Aspects of the Spline Smoothing Approach to Non‐Parametric Regression Curve Fitting
5. Bootstrap Methods: Another Look at the Jackknife
6. Gene Ontology: tool for the unification of biology
7. Density Estimation for Statistics and Data Analysis
8. Using Bayesian Networks to Analyze Expression Data (Annual International Conference on Research in Computational Molecular Biology)
9. Neural networks for pattern recognition
10. Spline smoothing and nonparametric regression

Their papers

• Bayesian information criteria and smoothing parameter selection in radial basis function networks (2004) — 141 citations
• Estimation of Genetic Networks and Functional Structures Between Genes by Using Bayesian Networks and Nonparametric Regression (2001) — 349 citations
• Long noncoding RNA HOTAIR regulates polycomb-dependent chromatin modification and is associated with poor prognosis in colorectal cancers. (2011) — 1,267 citations
• Inferring gene networks from time series microarray data using dynamic Bayesian networks (2003) — 346 citations
• Mapping the human genetic architecture of COVID-19 (2021) — 807 citations
• Utilizing Evolutionary Information and Gene Expression Data for Estimating Gene Networks with Bayesian Network Models (2005) — 46 citations
• Selection of smoothing parameters inB-spline nonparametric regression models using information criteria (2003) — 51 citations