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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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Dimensionality Reduction and Clustering,analysis. Dimensionality reduction, including methods like Principal Component Analysis (PCA), Uniform Manifold Approximation and Projection (UMAP), and t-distributed Stochastic Neighbor Embedding (t-SNE), simplifies high-dimensional data for visualization and downstream analysis. Clustering, exempl
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Trajectory Inference and Cell Fate Prediction,rofiling of heterogeneous cell populations. This chapter delves into the concepts of trajectory inference and cell fate prediction, essential for understanding dynamic biological processes such as development, differentiation, and cellular response to stimuli. The chapter also highlights various com
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bility of an integrated technological route for recovering titanium from bauxite ore residue was verified in this study. Titanium-bearing iron concentrate was first recycled through magnetic separation process, and titanium was further leached from the non-magnetic material derived from the upper-st
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Khalid Razant developments, discoveries, and practices in primary alumiThe Light Metals symposia at the TMS Annual Meeting & Exhibition present the most recent developments, discoveries, and practices in primary aluminum science and technology. The annual Light Metals volume has become the definitive reference
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