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Author Correction : DOME : recommendations for supervised machine learning validation in biologyWalsh, Ian; Fishman, Dmytro; Garcia-Gasulla, Dario; Titma, Tiina; Pollastri, GianlucaNature methods2021 / p. 1409–1410 : ill https://doi.org/10.1038/s41592-021-01304-2 Journal metrics at Scopus Article at Scopus

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Author Correction: SciPy 1.0 : fundamental algorithms for scientific computing in Python (Nature Methods, (2020), 17, 3, (261-272), 10.1038/s41592-019-0686-2)Virtanen, Pauli; Gommers, Ralf; Oliphant, Travis E.; Haberland, Matt; Reddy, Tyler; Cournapeau, David; Burovski, Evgeni; Peterson, Pearu; Weckesser, Warren; Bright, JonathanNature Methods2020 / p. 352 https://doi.org/10.1038/s41592-020-0772-5 Journal metrics at Scopus Article at Scopus Journal metrics at WOS

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DOME : recommendations for supervised machine learning validation in biologyWalsh, Ian; Fishman, Dmytro; Garcia-Gasulla, Dario; Titma, Tiina; Pollastri, Gianluca; Harrow, Jennifer; Psomopoulos, Fotis E.; Tosatto, Silvio C. E.Nature methods2021 / p. 1122–1127 https://doi.org/10.1038/s41592-021-01205-4 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Recovery of missing single-cell RNA-sequencing data with optimized transcriptomic referencesPool, Allan-Hermann; Poldsam, Helen; Chen, Sisi; Thomson, Matt; Oka, YukiNature Methods2023 / p. 1506 - 1515 https://doi.org/10.1038/s41592-023-02003-w Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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SciPy 1.0 : fundamental algorithms for scientific computing in PythonVirtanen, Pauli; Gommers, Ralf; Oliphant, Travis E.; Haberland, Matt; Reddy, Tyler; Cournapeau, David; Burovski, Evgeni; Peterson, PearuNature methods2020 / p. 261-272 https://doi.org/10.1038/s41592-019-0686-2 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

journal article EST / journal article ENG
Related publications 1
- Author Correction: SciPy 1.0 : fundamental algorithms for scientific computing in Python (Nature Methods, (2020), 17, 3, (261-272), 10.1038/s41592-019-0686-2)

Number of records 5, displaying 1 - 5

1. Changing nature of work
2. nature
3. nature- and biological-inspired
4. nature conservation
5. nature inspired
6. nature protection
7. nature tourism
8. nature values
9. nature writing
10. nature-based composite
11. nature-based solutions
12. nature-based solutions (NBS)
13. nature-based solutions (NBSs)
14. nature-inspired tribology
15. nature-like fishway
16. values of nature
17. ab-initio methods
18. active learning methods
19. algebraic methods
20. algebraic/geometric methods
21. an ensemble of compression methods
22. analysis methods
23. analytical methods
24. approximate methods
25. approximation methods
26. assessment methods
27. Backstepping methods
28. biology experimental methods
29. calculation methods
30. casting methods
31. Cesaro methods
32. chemometric methods
33. computational design methods
34. computational methods
35. computer aided methods
36. computer vision-based methods
37. control methods
38. decontamination methods
39. deep learning methods
40. Design and assessment methods
41. design methods
42. detection methods
43. diagnostics methods
44. didactic methods
45. difference algebraic methods
46. digital methods
47. direct methods
48. electronic structure methods
49. ensemble methods
50. Euler-Knopp methods
51. excavation methods
52. extraction and detection methods
53. finite-element (FE) methods
54. finite-element methods
55. finite-element methods (FEM)
56. finite-element methods (FEMs)
57. flow assessment methods
58. formal methods
59. frontier methods
60. Gauss-Newton-type methods
61. Gauss–Newton-type methods
62. generalized Nörlund methods
63. geometric methods
64. graphic methods
65. hybrid methods
66. integration methods
67. interaction methods
68. interactive teaching methods
69. interpretation methods
70. invasive methods
71. inverse methods
72. inverse methods for engineering applications
73. linear and nonlinear unsupervised methods
74. material characterization methods
75. Mathematical methods
76. matrix methods
77. methods
78. Methods of Classification
79. methods of measuring
80. methods of study
81. methods: data analysis
82. Methods: statistical
83. mixed methods
84. mixed-methods
85. model-free methods
86. modulation methods
87. Monte Carlo methods
88. multi-criteria decision-making methods
89. nearest neighbor methods
90. numerical methods
91. optic methods
92. optimization methods
93. outlier’s detection methods
94. physico-chemical methods
95. phytoplankton detection methods
96. plan-driven methods
97. polynomial methods
98. practical teaching methods
99. prediction methods
100. pseudospectral methods
101. qualitative methods
102. qualitative research methods
103. quantitative methods
104. regular matrix methods
105. research methods
106. reversal methods
107. sampling methods
108. selection methods
109. separation methods
110. shootthrough control methods
111. shoot-through control methods
112. stability prediction methods
113. standardized methods
114. state space methods
115. Statistical methods
116. statistics methods
117. substation testing methods
118. Taguchi methods
119. teaching methods
120. testing methods
121. timber construction (construction methods)
122. tracer gas methods
123. transmission line matrix methods
124. Tree-based methods
125. variational methods
126. verification methods
127. visual methods
128. visualization design and evaluation methods
129. X-ray methods
130. X-ray methods B
131. ﬁnite element methods

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