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Disease Models & Mechanisms (source)

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journal article EST / journal article ENG

Daughterless, the Drosophila orthologue of TCF4, is required for associative learning and maintenance of the synaptic proteomeTamberg, Laura; Jaago, Mariliis; Säälik, Kristi; Sirp, Alex; Tuvikene, Jürgen; Šubina, Anastassia; Kiir, Carl Alexander; Nurm, Kaja; Sepp, Mari; Timmusk, Tõnis; Palgi, MariDisease Models & Mechanisms2020 / art. dmm042747, 15 p. : ill https://doi.org/10.1242/dmm.042747 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

journal article EST / journal article ENG
Seotud publikatsioonid 1
- Studies of the Drosophila basic helix-loop-helix transcription factor Daughterless and its mammalian homologue Transcription factor 4 = Äädikakärbse aluselise heeliks-ling-heeliks transkriptsioonifaktori Daughterless ja tema imetaja homoloogi Transkriptsioonifaktor 4 uuringud
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journal article

First person - Laura TambergTamberg, LauraDisease Models & Mechanisms2020 / art. dmm046532, 2 p. : phot https://dmm.biologists.org/content/dmm/13/7/dmm046532.full.pdf https://doi.org/10.1242/dmm.046532

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Number of records 2, displaying 1 - 2

1. mechanisms of disease
2. disease models
3. CSR mechanisms
4. damage mechanisms
5. enzyme mechanisms
6. general - radiation mechanisms
7. international convergence mechanisms
8. management mechanisms
9. market mechanisms
10. mechanisms
11. physical mechanisms
12. reaction mechanisms
13. strengthening mechanisms
14. underlying mechanisms
15. Wear mechanisms
16. 5-ling and 7-link mechanisms
17. Alzheimer’s disease
18. Alzheimer's disease
19. anti-GBM disease
20. cardiovascular disease
21. celiac disease
22. cerebrovascular disease
23. chronic kidney disease
24. chronic obstructive pulmonary disease
25. coronary artery disease
26. coronary artery disease (CAD)
27. coronary disease
28. coronary heart disease
29. disease
30. disease diagnosis
31. disease model
32. disease progression
33. disease resistance
34. end stage renal disease
35. end-stage kidney disease
36. end-stage renal disease
37. garment workers and patients with occupational disease
38. genetic predisposition to disease
39. heart disease risk factors
40. Huntington’s disease
41. infectious disease
42. in-transit disease
43. late blight disease
44. loco-regionally metastatic disease
45. lyme disease
46. Menkes disease
47. molecular bases of disease
48. NAFLD (non-alcoholic fatty liver disease)
49. neurodegenerative disease
50. neuromuscular disease
51. non-alcoholic fatty liver disease
52. oat striate and red disease
53. Parkinson disease
54. Parkinson’s disease
55. Parkinson’s disease machine learning
56. Parkinson's disease
57. physical overload disease
58. preclinical Alzheimer disease
59. renal disease
60. stable coronary heart disease
61. subclinical cardiovascular disease
62. Wilson disease
63. Wilson’s disease
64. von Willebrand disease
65. adaptation models
66. agent-based models
67. aging models
68. AI maturity models
69. analytical models
70. animal models
71. atmosphere models
72. bottom-up models
73. business development models
74. business models
75. capability models
76. channel models
77. circular economy models
78. climate models
79. competence models
80. computational models
81. control fault models
82. coupled wave-circulation-atmosphere models
83. coupled models
84. data models
85. demonstration models
86. didactical models
87. dq0 models
88. DSL meta-models
89. dynamic models
90. econometric models
91. EMT models
92. energy models
93. excellence models
94. factor models
95. factor-augmented vector autoregressive models
96. fault models
97. feature space for taxonomy of models of interactive computation
98. FEM Hertz contact and wear models
99. FEM Models
100. fetch-based models
101. fraud models
102. functional models
103. goal models
104. governance and ownership models
105. habitat suitability models
106. hierarchical service models
107. hybrid models
108. hydraulic models
109. in vitro models
110. input-output models
111. input–output models
112. interactive models
113. interoperability and evolution of healthcare models and software systems
114. inventory replenishment models
115. learner models
116. learning models
117. linear mixed models
118. LOD3 models
119. logic models
120. logic models and simulation
121. logistics competence models
122. lower trophic level models
123. machine learning models
124. Markov models
125. mathematical models
126. mathematical models for economic problems
127. maturity models
128. mental models
129. meta-models
130. metapopulation models
131. models
132. models for risk assessment
133. models in psychology
134. Models of computation
135. multilingual models
136. multiple regression models
137. multivariate GARCH models
138. new learning models
139. non-linear models
140. numerical models
141. ocean models
142. optimization models
143. prediction models
144. predictive models
145. pre-trained models
146. price models
147. probabilistic graphical models
148. process models and modelling
149. radio propagation models
150. regression models
151. RMS models
152. rock models
153. role-models
154. science-driven models
155. second generation of tribology models
156. sectoral models
157. service models
158. shared mental models
159. simulation models
160. smooth transition VAR models
161. sparse models
162. Spatial statistical models
163. stage and maturity models
164. stage- and maturity models
165. stage models
166. state-space models
167. static load models
168. statistical prediction models
169. structure models
170. surface models
171. surgery models
172. sustainable business models
173. synthesis on hierarchical service models
174. synthetic gravity models
175. teaching models
176. theoretical models
177. thermal models
178. time-averaged models
179. top-down models
180. trajectory models
181. trust models in technology
182. turbulence models
183. wavelet models
184. wind park models
185. 3D models

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