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Titlebook: Machine Learning in Single-Cell RNA-seq Data Analysis; Khalid Raza Book 2024 The Editor(s) (if applicable) and The Author(s), under exclus

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21#
發(fā)表于 2025-3-25 03:53:17 | 只看該作者
Khalid Razaow-grade bauxite ore which is commonly used for the alumina-based abrasives and refractories productions. The alumina-silica and alumina-ferrite complexes are the foremost impurities present in the low-grade bauxite. They affect its commercial utilities due to development of poor binding property in
22#
發(fā)表于 2025-3-25 08:00:06 | 只看該作者
23#
發(fā)表于 2025-3-25 12:13:56 | 只看該作者
24#
發(fā)表于 2025-3-25 19:02:11 | 只看該作者
Khalid Raza and magnetic recoveries of iron and titanium attained 55.79 and, 17.37% respectively. 96.36% TiO. was subsequently leached from the non-magnetic material under the optimal conditions of sulfuric acid concentration of 8?mol/L, leaching temperature of 70?°C, leaching time of 120?min, and liquid to so
25#
發(fā)表于 2025-3-25 21:14:41 | 只看該作者
Khalid Raza and magnetic recoveries of iron and titanium attained 55.79 and, 17.37% respectively. 96.36% TiO. was subsequently leached from the non-magnetic material under the optimal conditions of sulfuric acid concentration of 8?mol/L, leaching temperature of 70?°C, leaching time of 120?min, and liquid to so
26#
發(fā)表于 2025-3-26 04:03:29 | 只看該作者
27#
發(fā)表于 2025-3-26 06:13:41 | 只看該作者
Khalid Raza such as sensitivity investigations, “What-if” analyses, production optimization, business planning and estimation of capital investment efficiency. RUSAL has organized departments for mathematical modeling at their refineries and a central development team in its St. Petersburg office. Refinery spe
28#
發(fā)表于 2025-3-26 08:41:34 | 只看該作者
Khalid Razametabolic products can mobilize or polarize different impurities present in the low-grade bauxite by means of the active redox environment created by them in the indigenous atmosphere. Many reports have suggested that . efficiently removes calcium from the low-grade bauxite. Similarly, iron-oxidizin
29#
發(fā)表于 2025-3-26 14:31:22 | 只看該作者
30#
發(fā)表于 2025-3-26 19:19:10 | 只看該作者
2191-530X ed experts at the intersection of genomics and artificial intelligence, this book serves as a roadmap for leveraging machine learning algorithms to extract meaningful patterns and uncover hidden biological insights within scRNA-seq datasets.?.978-981-97-6702-1978-981-97-6703-8Series ISSN 2191-530X Series E-ISSN 2191-5318
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