366 Papers for 2016 Part 4

Another round of papers!

1. Oct 31 Naegle, Kristen, Nancy R. Gough, and Michael B. Yaffe. “Criteria for biological reproducibility: what does” n” mean?.” Science signaling 8.371 (2015): fs7.
2. Oct 30 Brendan Maher & Miquel Sureda Anfres “Young scientists under pressure: what the data show” Nature 538, 444-445 (2016)
3. Oct 30 Powell, Kendall “Young, talented and fed-up: scientists tell their stories” Nature 538, 446-449 (2016)
4. Oct 30 Rinze Benedictus, Frank Miedema & Mark W. J. Ferguson “Fewer numbers, better science.” Nature 538, 454-455 (2016)
5. Oct 29 Tolu Oni, Fabio Sciarrino, Gerardo Adesso & Rob Knight “Let researchers try new paths” Nature 538, 451-453 (2016)
6. Oct 29 “Early-career researchers need fewer burdens and more support” Nature 538, 427 (2016)
7. Oct 29 Ambroise, Christophe, and Geoffrey J. McLachlan. “Selection bias in gene extraction on the basis of microarray gene-expression data.” Proceedings of the national academy of sciences 99.10 (2002): 6562-6566.
8. Oct 26 Coiera, Enrico, Sarah Collins, and Craig Kuziemsky. “A unified model of patient safety (or “Who froze my cheese?”).” BMJ 347 (2013): f7273.
9. Oct 24 Segre, Julia A. “Microbial growth dynamics and human disease.” Science 349.6252 (2015): 1058-1059.
10. Oct 19 Barba, Lorena A. “The hard road to reproducibility.” Science 354.6308 (2016): 142-142.
11. Oct 14 “Scientific buzzwords obscure meaning” Nature 538, 140 (2016)
12. Oct 14 “Rethink the links between genes and disease” Nature 538, 140 (2016)
13. Oct 14 Crawford, Kate and Ryan Calo. “There is a blind spot in AI research” Nature 538, 311-313 (2016)
14. Oct 09 Proctor, Lita M. “The National Institutes of Health Human Microbiome Project.” Seminars in Fetal and Neonatal Medicine. WB Saunders, 2016.
15. Oct 06 Evans, R. Scott, et al. “Automated identification and predictive tools to help identify high-risk heart failure patients: pilot evaluation.” Journal of the American Medical Informatics Association (2016): ocv197.