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Analysis for computer scientists
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Single-cell RNA sequencing (scRNA-Seq) is an increasingly popular platform to study heterogeneity at the single-cell level. Computational methods to process scRNA-Seq data are not very accessible to bench scientists as they require a significant amount of bioinformatic skills.
12p
vioraclene
31-03-2024
3
2
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Part 1 of ebook "Analysis for computer scientists: Foundations, methods, and algorithms" has presents the following content: Chapter 1 - Numbers; Chapter 2 - Real-valued functions; Chapter 3 - Trigonometry; Chapter 4 - Complex numbers; Chapter 5 - Sequences and series; Chapter 6 - Limits and continuity of functions; Chapter 7 - The derivative of a function; Chapter 8 - Applications of the derivative; Chapter 9 - Fractals and L-systems;...
143p
dieptieuung
20-07-2023
3
3
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Continued part 1, part 2 of ebook "Analysis for computer scientists: Foundations, methods, and algorithms" has presents the following content: Chapter 10 - Antiderivatives; Chapter 11 - Definite integrals; Chapter 12 - Taylor series; Chapter 13 - Numerical integration; Chapter 14 - Curves; Chapter 15 - Scalar-valued functions of two variables; Chapter 16 - Vector-valued functions of two variables; Chapter 17 - Integration of functions of two variables; Chapter 18 - Linear regression;...
229p
dieptieuung
20-07-2023
5
3
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High-throughput Next-Generation Sequencing (NGS) techniques are advancing genomics and molecular biology research. This technology generates substantially large data which puts up a major challenge to the scientists for an efficient, cost and time effective solution to analyse such data. Further, for the different types of NGS data, there are certain common challenging steps involved in analysing those data.
13p
vikentucky2711
26-11-2020
21
0
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(bq) part 1 book "applied numerical methods with matlab for engineers and scientists" has contents: modeling, computers, and error analysis; matlab fundamentals; programming with matlab; roundoff and truncation errors, bracketing methods,... and other contents.
287p
bautroibinhyen19
24-02-2017
55
4
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Unfortunately there is a lack of effective data management tools that can help users in managing such data and in ap- plying models, forcing them to use external tools for this purpose. Scientists, for instance, typically import the raw data into an analysis package such as Matlab, where they apply various models to the data. Once the data has been filtered, they typically process it further using customized programs that are often quite similar to database queries (e.g., that find peaks in the cleaned data, extract particu- lar subsets, or compute aggregates over different regions).
12p
yasuyidol
02-04-2013
49
3
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Biomedical engineering and medical informatics represent challenging and rapidly growing areas. Applications of information technology in these areas are of paramount importance.
200p
hyperion75
22-01-2013
63
7
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It would have been much easier for me to write this ACKNOWLEDGEMENT if I were a well established scientist of international fame. I could then write in a pastoral manner about sweet recollections of the past, starting with a certain scientist, also internationally famous of course, who came to visit my lab and suggested that I should write such a book. Knowing that the whole world was watching and waiting, I had set aside all the other very important works and devoted most of my time to the writing of this path-blazing masterpiece.
284p
camchuong_1
04-12-2012
57
7
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Data Handling in Biology--the application of computational and analytical methods to biological problems--is a rapidly evolving scientific discipline. Written in a clear, engaging style, Large Scale Data Handling in Biology is for scientists and students who are learning computational approaches to biology. The book covers the data storage system, computational approaches to biological problems, an introduction to workflow systems, data mining, data visualization, and tips for tailoring existing data analysis software to individual research needs....
53p
tuanloc_do
04-12-2012
62
2
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This book covers 27 articles in the applications of artificial neural networks (ANN) in various disciplines which includes business, chemical technology, computing, engineering, environmental science, science and nanotechnology. They modeled the ANN with verification in different areas. They demonstrated that the ANN is very useful model and the ANN could be applied in problem solving and machine learning. This book is suitable for all professionals and scientists in understanding how ANN is applied in various areas....
0p
cucdai_1
20-10-2012
124
15
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The biological sciences have become more quantitative and information-driven since emerging computational and mathematical tools facilitate collection and analysis of vast amounts of biological data. Complexity analysis of biological systems provides biological knowledge for the organization, management, and mining of biological data by using advanced computational tools. The biological data are inherently complex, nonuniform, and collected at multiple temporal and spatial scales.
316p
chuyenphimbuon
21-07-2012
60
13
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A textbook of Computer Based Numerical and Statiscal Techniques part 61. By joining statistical analysis with computer-based numerical methods, this book bridges the gap between theory and practice with software-based examples, flow charts, and applications. Designed for engineering students as well as practicing engineers and scientists, the book has numerous examples with in-text solutions.
10p
pretty19
28-10-2010
51
2
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A textbook of Computer Based Numerical and Statiscal Techniques part 60. By joining statistical analysis with computer-based numerical methods, this book bridges the gap between theory and practice with software-based examples, flow charts, and applications. Designed for engineering students as well as practicing engineers and scientists, the book has numerous examples with in-text solutions.
10p
pretty19
28-10-2010
43
2
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A textbook of Computer Based Numerical and Statiscal Techniques part 59. By joining statistical analysis with computer-based numerical methods, this book bridges the gap between theory and practice with software-based examples, flow charts, and applications. Designed for engineering students as well as practicing engineers and scientists, the book has numerous examples with in-text solutions.
10p
pretty19
28-10-2010
46
2
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A textbook of Computer Based Numerical and Statiscal Techniques part 57. By joining statistical analysis with computer-based numerical methods, this book bridges the gap between theory and practice with software-based examples, flow charts, and applications. Designed for engineering students as well as practicing engineers and scientists, the book has numerous examples with in-text solutions.
10p
pretty19
28-10-2010
49
2
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A textbook of Computer Based Numerical and Statiscal Techniques part 58. By joining statistical analysis with computer-based numerical methods, this book bridges the gap between theory and practice with software-based examples, flow charts, and applications. Designed for engineering students as well as practicing engineers and scientists, the book has numerous examples with in-text solutions.
10p
pretty19
28-10-2010
50
2
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A textbook of Computer Based Numerical and Statiscal Techniques part 56. By joining statistical analysis with computer-based numerical methods, this book bridges the gap between theory and practice with software-based examples, flow charts, and applications. Designed for engineering students as well as practicing engineers and scientists, the book has numerous examples with in-text solutions.
10p
pretty19
28-10-2010
35
2
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A textbook of Computer Based Numerical and Statiscal Techniques part 54. By joining statistical analysis with computer-based numerical methods, this book bridges the gap between theory and practice with software-based examples, flow charts, and applications. Designed for engineering students as well as practicing engineers and scientists, the book has numerous examples with in-text solutions.
10p
pretty19
28-10-2010
42
2
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A textbook of Computer Based Numerical and Statiscal Techniques part 55. By joining statistical analysis with computer-based numerical methods, this book bridges the gap between theory and practice with software-based examples, flow charts, and applications. Designed for engineering students as well as practicing engineers and scientists, the book has numerous examples with in-text solutions.
10p
pretty19
28-10-2010
43
2
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A textbook of Computer Based Numerical and Statiscal Techniques part 53. By joining statistical analysis with computer-based numerical methods, this book bridges the gap between theory and practice with software-based examples, flow charts, and applications. Designed for engineering students as well as practicing engineers and scientists, the book has numerous examples with in-text solutions.
10p
pretty19
28-10-2010
59
2
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