| Judul | Computational Methods for the Analysis of Genomic Data and Biological Processes / Francisco A. G ´omez Vela; Federico Divina; Miguel Garc´?a-Torres (editor) |
| Pengarang | Francisco A. G ´omez Vela; Federico Divina; Miguel Garc´?a-Torres (editor) |
| Penerbitan | Basel : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Deskripsi Fisik | 224p. :ill |
| ISBN | 978-3-03943-772-6 |
| Subjek | GENOMICS—DATA PROCESSING BIOINFORMATICS COMPUTATIONAL BIOLOGY MOLECULAR BIOLOGY—DATA PROCESSING |
| Catatan | Today, new technologies, such as microarrays or high-performance sequencing, are producing more and more genomic data. This fact has brought new opportunities and challenges in the fields of computational biology and bioinformatics, since this huge number of data need to be analysed in order to be exploited. In this context, new computational methods and tools, such as machine learning approaches or gene expression analysis tools, could provide the solution to such issues. The overall aim of this Special Issue is to compile the latest research and developments in the field of computational methods for the analysis of gene expression data and, in particular, with the modelling of biological processes. |
| Bentuk Karya | Tidak ada kode yang sesuai |
| Target Pembaca | Tidak ada kode yang sesuai |
| Lokasi Akses Online |
https://oer.unair.ac.id/files/original/ba124b6b32b6facb1c3f39019ea7be95.pdf |
| No Barcode | No. Panggil | Akses | Lokasi | Ketersediaan |
|---|---|---|---|---|
| 030625192 | 570.285 Com | Baca Online | Perpustakaan Pusat - Online Resources Ebook |
Tersedia |
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| 005 | 20250714110600 | ||
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| 245 | # | # | $a Computational Methods for the Analysis of Genomic Data and Biological Processes /$c Francisco A. G ´omez Vela; Federico Divina; Miguel Garc´?a-Torres (editor) |
| 260 | # | # | $a Basel :$b MDPI - Multidisciplinary Digital Publishing Institute,$c 2020 |
| 300 | # | # | $a 224p. : $b ill |
| 504 | # | # | $a Today, new technologies, such as microarrays or high-performance sequencing, are producing more and more genomic data. This fact has brought new opportunities and challenges in the fields of computational biology and bioinformatics, since this huge number of data need to be analysed in order to be exploited. In this context, new computational methods and tools, such as machine learning approaches or gene expression analysis tools, could provide the solution to such issues. The overall aim of this Special Issue is to compile the latest research and developments in the field of computational methods for the analysis of gene expression data and, in particular, with the modelling of biological processes. |
| 650 | # | # | $a BIOINFORMATICS |
| 650 | # | # | $a COMPUTATIONAL BIOLOGY |
| 650 | # | # | $a GENOMICS—DATA PROCESSING |
| 650 | # | # | $a MOLECULAR BIOLOGY—DATA PROCESSING |
| 700 | 0 | # | $a Francisco A. G ´omez Vela; Federico Divina; Miguel Garc´?a-Torres (editor) |
| 856 | # | # | $a https://oer.unair.ac.id/files/original/ba124b6b32b6facb1c3f39019ea7be95.pdf |
| 990 | # | # | $a 030625192 |
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