 |
ISBN
| 9780367634605 | |
DDC
| 572.86 | |
Tác giả CN
| Akalin, Altuna | |
Nhan đề
| Computational genomics with R / Altuna Akalin | |
Thông tin xuất bản
| Boca Raton, FL : CRC Press, 2021 | |
Mô tả vật lý
| xxii, 440 pages. : illustrations (chiefly color) ; 26 cm. | |
Tùng thư
| Chapman & Hall/CRC computational biology series | |
Phụ chú
| "A Chapman & Hall book" | |
Tóm tắt
| Computational Genomics with R provides a starting point for beginners in genomic data analysis and also guides more advanced practitioners to sophisticated data analysis techniques in genomics. The book covers topics from R programming, to machine learning and statistics, to the latest genomic data analysis techniques. The text provides accessible information and explanations, always with the genomics context in the background. This also contains practical and well-documented examples in R so readers can analyze their data by simply reusing the code presented. As the field of computational genomics is interdisciplinary, it requires different starting points for people with different backgrounds. For example, a biologist might skip sections on basic genome biology and start with R programming, whereas a computer scientist might want to start with genome biology | |
Từ khóa tự do
| Genomics | |
Từ khóa tự do
| R (Computer program language) | |
Từ khóa tự do
| Data processing | |
Từ khóa tự do
| Computational biology | |
Khoa
| Khoa Công nghệ sinh học | |
Địa chỉ
| 300Q12_Kho Mượn_02(1): 088622 |
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| 100 | |aAkalin, Altuna |
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| 245 | |aComputational genomics with R / |cAltuna Akalin |
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| 260 | |aBoca Raton, FL : |bCRC Press, |c2021 |
|---|
| 300 | |axxii, 440 pages. : |billustrations (chiefly color) ; |c26 cm. |
|---|
| 490 | |aChapman & Hall/CRC computational biology series |
|---|
| 500 | |a"A Chapman & Hall book" |
|---|
| 520 | |aComputational Genomics with R provides a starting point for beginners in genomic data analysis and also guides more advanced practitioners to sophisticated data analysis techniques in genomics. The book covers topics from R programming, to machine learning and statistics, to the latest genomic data analysis techniques. The text provides accessible information and explanations, always with the genomics context in the background. This also contains practical and well-documented examples in R so readers can analyze their data by simply reusing the code presented. As the field of computational genomics is interdisciplinary, it requires different starting points for people with different backgrounds. For example, a biologist might skip sections on basic genome biology and start with R programming, whereas a computer scientist might want to start with genome biology |
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| 541 | |aMua |
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| 653 | |aGenomics |
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| 653 | |aR (Computer program language) |
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| 653 | |aData processing |
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| 653 | |aComputational biology |
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| 690 | |aKhoa Công nghệ sinh học |
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