Literature DB >> 4860564

Studies in the history of probability and statistics. XV. The historical velopment of the Gauss linear model.

H L Seal.   

Abstract

Mesh：

Year:  1967        PMID： 4860564

Source DB:  PubMed          Journal:  Biometrika        ISSN： 0006-3444            Impact factor:   2.445


× No keyword cloud information.
  7 in total

1.  The 'law of ancestral heredity' and the Mendelian-ancestrian controversy in England, 1889-1906.

Authors:  P Froggatt; N C Nevin
Journal:  J Med Genet       Date:  1971-03       Impact factor: 6.318

2.  Predicting Box-Office Markets with Machine Learning Methods.

Authors:  Dawei Li; Zhi-Ping Liu
Journal:  Entropy (Basel)       Date:  2022-05-16       Impact factor: 2.738

3.  Supervised learning methods in modeling of CD4+ T cell heterogeneity.

Authors:  Pinyi Lu; Vida Abedi; Yongguo Mei; Raquel Hontecillas; Stefan Hoops; Adria Carbo; Josep Bassaganya-Riera
Journal:  BioData Min       Date:  2015-09-04       Impact factor: 2.522

4.  NIPTmer: rapid k-mer-based software package for detection of fetal aneuploidies.

Authors:  Martin Sauk; Olga Žilina; Ants Kurg; Eva-Liina Ustav; Maire Peters; Priit Paluoja; Anne Mari Roost; Hindrek Teder; Priit Palta; Nathalie Brison; Joris R Vermeesch; Kaarel Krjutškov; Andres Salumets; Lauris Kaplinski
Journal:  Sci Rep       Date:  2018-04-04       Impact factor: 4.379

5.  Real-Time Forecasting of the COVID-19 Outbreak in Chinese Provinces: Machine Learning Approach Using Novel Digital Data and Estimates From Mechanistic Models.

Authors:  Dianbo Liu; Leonardo Clemente; Canelle Poirier; Xiyu Ding; Matteo Chinazzi; Jessica Davis; Alessandro Vespignani; Mauricio Santillana
Journal:  J Med Internet Res       Date:  2020-08-17       Impact factor: 5.428

Review 6.  Artificial Intelligence and Machine Learning in Pathology: The Present Landscape of Supervised Methods.

Authors:  Hooman H Rashidi; Nam K Tran; Elham Vali Betts; Lydia P Howell; Ralph Green
Journal:  Acad Pathol       Date:  2019-09-03

Review 7.  Big Data to Knowledge: Application of Machine Learning to Predictive Modeling of Therapeutic Response in Cancer.

Authors:  Sukanya Panja; Sarra Rahem; Cassandra J Chu; Antonina Mitrofanova
Journal:  Curr Genomics       Date:  2021-12-16       Impact factor: 2.689
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.