|
Dòng
|
Nội dung
|
|
1
|
Data Analysis and Visualization Using Python : Analyze Data to Create Visualizations for BI Systems / Ossama Embarak
Apress, 2018
394 p. : illustration ; 25 cm.
Ký hiệu phân loại (DDC): 006
Shifting focus to data structures, you will learn the various aspects of data structures from a data science perspective. You will then work with file I/O and regular expressions in Python, followed by gathering and cleaning data. Moving on to exploring and analyzing data, you will look at advanced data structures in Python. Then, you will take a deep dive into data visualization techniques, going through a number of plotting systems in Python.
Số bản sách:
(1)
Tài liệu số:
(1)
|
|
2
|
|
|
3
|
Data Mining Techniques for the Life Sciences / Oliviero Carugo, Frank Eisenhaber
NJ : Humana, 2016
565 p. : illustration ; 24 cm.
Ký hiệu phân loại (DDC): 005
This volume details several important databases and data mining tools. Data Mining Techniques for the Life Sciences, Second Edition guides readers through archives of macromolecular three-dimensional structures, databases of protein-protein interactions, thermodynamics information on protein and mutant stability, “Kbdock” protein domain structure database, PDB_REDO databank, erroneous sequences, substitution matrices, tools to align RNA sequences, interesting procedures for kinase family/subfamily classifications, new tools to predict protein crystallizability, metabolomics data, drug-target interaction predictions, and a recipe for protein-sequence-based function prediction and its implementation in the latest version of the ANNOTATOR software suite.
Số bản sách:
(1)
Tài liệu số:
(1)
|
|
4
|
|
|
5
|
|
|
|
|
|