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Literature DB >> 30478452

Avoiding common pitfalls in machine learning omic data science.

Andrew E Teschendorff^1,2.

Abstract

Mesh：

Year: 2019 PMID： 30478452 DOI： 10.1038/s41563-018-0241-z

Source DB: PubMed Journal: Nat Mater ISSN： 1476-1122 Impact factor: 43.841

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22 in total

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Review 2. Statistical mechanics meets single-cell biology.

Authors: Andrew E Teschendorff; Andrew P Feinberg
Journal: Nat Rev Genet Date: 2021-04-19 Impact factor: 53.242

3. Harnessing Human Microphysiology Systems as Key Experimental Models for Quantitative Systems Pharmacology.

Authors: D Lansing Taylor; Albert Gough; Mark E Schurdak; Lawrence Vernetti; Chakra S Chennubhotla; Daniel Lefever; Fen Pei; James R Faeder; Timothy R Lezon; Andrew M Stern; Ivet Bahar
Journal: Handb Exp Pharmacol Date: 2019

Review 4. Navigating the pitfalls of applying machine learning in genomics.

Authors: Sean Whalen; Jacob Schreiber; William S Noble; Katherine S Pollard
Journal: Nat Rev Genet Date: 2021-11-26 Impact factor: 53.242

5. Just Add Data: automated predictive modeling for knowledge discovery and feature selection.

Authors: Ioannis Tsamardinos; Paulos Charonyktakis; Georgios Papoutsoglou; Giorgos Borboudakis; Kleanthi Lakiotaki; Jean Claude Zenklusen; Hartmut Juhl; Ekaterini Chatzaki; Vincenzo Lagani
Journal: NPJ Precis Oncol Date: 2022-06-16

6. Artificial intelligence in differentiating tropical infections: A step ahead.

Authors: Shreelaxmi Shenoy; Asha K Rajan; Muhammed Rashid; Viji Pulikkel Chandran; Pooja Gopal Poojari; Vijayanarayana Kunhikatta; Dinesh Acharya; Sreedharan Nair; Muralidhar Varma; Girish Thunga
Journal: PLoS Negl Trop Dis Date: 2022-06-30

7. A Framework for Augmented Intelligence in Allergy and Immunology Practice and Research-A Work Group Report of the AAAAI Health Informatics, Technology, and Education Committee.

Authors: Paneez Khoury; Renganathan Srinivasan; Sujani Kakumanu; Sebastian Ochoa; Anjeni Keswani; Rachel Sparks; Nicholas L Rider
Journal: J Allergy Clin Immunol Pract Date: 2022-03-15