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资源名称：医学方——科研系列课程
合集数目：全集
资源类型：技能学习
资源格式：MP4/AVI
资源大小：21.37GB
存储方式：百度云网盘
收藏网站：【好样猫资源】https://www.haoyangmao18.com/
医学方精品课程——从数据挖掘–MIMIC–R语言基础–R语言作图–R语言高级医学统计–基因编辑–医学统计学，应有尽有。
医学可分为现代医学（即通常说的西医学）和传统医学〔包括中（汉）医、藏医、蒙医、维医、朝医、彝医、壮医、苗医、傣医等〕多种医学体系。不同地区和民族都有相应的一些医学体系，宗旨和目的不相同，另外，印度传统医学系统也被认为很发达。
基础医学包括：医学生物数学，医学生物化学，医学生物物理学，人体解剖学，医学细胞生物学，人体生理学，人体组织学，人体胚胎学，医学遗传学，人体免疫学，医学寄生虫学，医学微生物学，医学病毒学，人体病理学，病理生理学，药理学，医学实验动物学，医学心理学，生物医学工程学，医学信息学，急救学，护病学，新中心法则。
东、西方文化历史背景是中、西医学形成、发展的土壤。公元2世纪东、西方的两位医学巨匠张仲景和盖伦，传承了不同的学术思想，创建了迥异的医学范式，发展和完善了不同的理论体系，使中、西医学各自走向了两条完全不同的发展道路。
在汉代医学家张仲景所著述的《伤寒杂病论》之前，就有《内经》、《难经》、《本草经》等古典医药典籍。张仲景总结了汉代以前的医学成就，继承了《内经》等基本理论和丰富的医药知识，结合自己的临床实践，写成了《伤寒杂病论》。
其贡献在于确立了中医学辨证论治的理论体系，为后世中医临床医学的发展，奠定了坚实的基础。
资源列表：
01-GEO、TCGA、Oncomine数据挖掘教程
课时1 数据挖掘概述.mp4
课时10 TCGA数据整理和基因注释.avi
课时11 寻找差异基因和制作5年生存率.avi
课时12 Oncomine概述及Meta分析.avi
课时13 Oncomine之差异分析及共表达分析.avi
课时14 非cel格式GEO芯片数据分析.mp4
课时2 GEO在线工具的应用.avi
课时3 GEO数据下载和数据质量分析.avi
课时4 原始数据预处理.avi
课时5 寻找差异基因及制作热图和火山图.avi
课时6 富集分析.avi
课时7 KEGG分析.avi
课时8 蛋白互作网络.avi
课时9 TCGA数据下载.avi
数据挖掘代码
代码
GEO.txt
TCGA.txt
perl
ensemblToSymbol.pl
mRNA_merge.pl
putFilesToOneDir.pl
survival_time.pl
资料（脚本及源码）
GEO.txt
GEO中非cel文件脚本.txt
TCGA.txt
perl
ensemblToSymbol.pl
gb2symbol.pl
mRNA_merge.pl
probe2symbol.pl
putFilesToOneDir.pl
survival_time.pl
02-MIMIC临床数据使用入门
MIMIC临床数据库使用入门 – 课时1-3.mp4
MIMIC临床数据库使用入门 – 课时4-5.mp4
SQL QUERY.docx
03 R语言可视化及绘图
10、10.几何对象之点图.mp4
11、11.几何对象之条图.mp4
12、12.几何对象之盒形图和直方图.mp4
13、13.几何对象之线图.mp4
14、14.几何对象之标签绘制.mp4
15、15.坐标轴自定义函数.mp4
16、16.图例与标题.mp4
17、17.坐标系转换函数与图片分面函数.mp4
18、18.主题函数&一页多图&高质量图片导出.mp4
19、19.venn图和火山图.mp4
1、1.par函数.mp4
20、20.nomogram和heatmap.mp4
21、21.生存曲线.mp4
2、2.散点图&盒形图.mp4
3、3.条形图&直方图.mp4
4、4.饼图&克利夫兰点图&条件图.mp4
5、5.低级绘图函数(1).mp4
6、6.低级绘图函数（2）.mp4
7、7.图形颜色选取.mp4
8、8.ggplot2之qplot.mp4
9、9.ggplot2之美学函数.mp4
医学方R语言可视化配套代码.pdf
04-R语言与高级医学统计学
1.mp4
10.mp4
11.mp4
12.mp4
13.mp4
14.mp4
15.mp4
16.mp4
17.mp4
18.mp4
19.mp4
2.mp4
20.mp4
21.mp4
22.mp4
23.mp4
24.mp4
25.mp4
26.mp4
27.mp4
28.mp4
29.mp4
3.mp4
30.mp4
31.mp4
32.mp4
33.mp4
4.mp4
5.mp4
6.mp4
7.mp4
8.mp4
9.mp4
05-豪斯医生数据挖掘之WGCNA详解
ClinicalTraits.txt
epr.txt
医学方豪斯医生WGCNA配套代码.pdf
课时01.使用cytoscape寻找核心基因.MP4
课时02.WGCNA理论和算法1.mp4
课时03.WGCNA理论和算法2.mp4
课时04.WGCNA理论和算法3.mp4
课时05.WGCNA理论和算法4.mp4
课时06.输入文件准备.mp4
课时07.寻找基因模块.mp4
课时08.与临床信息相结合.mp4
课时09.确定核心基因.mp4
06-数据挖掘—miRNA调节网络的构建
01、TCGA概述
01、TCGA概述.mp4
02、TCGA概述.mp4
03、TCGA概述.mp4
02、构建调控关系理论
01、构建调控关系理论.mp4
02、构建调控关系理论.mp4
03、构建调控关系理论.mp4
03、WGCNA理论
01、WGCNA理论.mp4
02、WGCNA理论.mp4
03、WGCNA理论.mp4
04、WGCNA理论.mp4
04、数据下载
01、数据下载.mp4
02、数据下载.mp4
03、数据下载.mp4
04、数据下载.mp4
05、提取蛋白编码基因
01、提取蛋白编码基因.mp4
02、提取蛋白编码基因.mp4
03、提取蛋白编码基因.mp4
04、提取蛋白编码基因.mp4
05、提取蛋白编码基因.mp4
06、差异分析
01、差异分析.mp4
02、差异分析.mp4
03、差异分析.mp4
07、基于算法构建调控
01、基于算法构建调控.mp4
02、基于算法构建调控.mp4
03、基于算法构建调控.mp4
04、基于算法构建调控.mp4
08、cytoscape构建网络
01、cytoscape构建网络.mp4
02、cytoscape构建网络.mp4
09、数据库预测
01、数据库预测.mp4
02、数据库预测.mp4
03、数据库预测.mp4
04、数据库预测.mp4
医学方miRNA调节网络的构建配套代码
TCGA.txt
DEmiRNA
diffmiRNAExp.txt
DEmRNA
diffmRNAExp.txt
merge
.Rhistory
diffmiRNAExp.txt
diffmRNAExp.txt
edge.txt
node.txt
rmiRNA.txt
rmRNA.txt
miRNA
metadata.cart.2018-01-17T14_59_36.956035.json
miRNAmatrix.txt
miRNA_merge.pl
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metadata.cart.2017-12-14T05_54_04.012157.json
mRNAmatrix.txt
mRNA_merge.pl
pro
diffmRNAExp.txt
diffSig.xls
down.xls
edgerOut.xls
gtf_df.Rda
Homo_sapiens.GRCh38.89.chr.gtf
mRNAmatrix.txt
mRNA_exprSet_matrix.txt
normalizeExp.txt
up.xls
vol.pdf
star
DEmiRNA.txt
DEmiRNAp.txt
DEmRNA.txt
starBase_miRNA.txt
target
.Rhistory
DEmRNA.txt
getMirnaTarget.pl
miRDB.tsv
miRNA.txt
miRTarBase.tsv
result.xls
target.txt
TargetScan.tsv
07.医学方医学数据挖掘精品课程-手把手教您如何数据挖掘
10.TCGA数据整理和基因注释.mp4
11.寻找差异基因和制作5年生存率.mp4
12.Oncomine概述及Meta分析.mp4
13.Oncomine之差异分析及共表达分析.mp4
1数据挖掘概述.mp4
2.GEO在线工具的应用.mp4
3.GEO数据下载和数据质量分析.mp4
4.原始数据预处理.mp4
5.寻找差异基因及制作热图和火山图.mp4
6.GO富集分析.mp4
7.KEGG分析(修复).mp4
8.蛋白互作网络.mp4
9.TCGA数据下载.mp4
课程脚本代码.zip
08-医学R语言快速入门与数据清洗
01.R语言、Rstudio简介.avi
02.R包的安装&向量.avi
03.数值型&逻辑型向量.avi
04.逻辑表达式&字符串向量.avi
05.因子型变量.avi
06.列表&矩阵.avi
07.数组&初识数据框.avi
08.数据框.avi
09.数据框的基本操作.avi
10.条件与循环.avi
11.自定义函数&数据读取.avi
12.数据的读取与写出.avi
13.数据排序与长宽型数据转换.avi
14.变量的因子化.avi
15.apply函数家族.avi
16.数据汇总函数.avi
17.plyr包.avi
18.dplyr包.avi
19.data.table包.avi
20.缺失值的识别与处理（1）.avi
21.缺失值的识别与处理（2）.avi
22.异常值和重复值的处理.avi
23.字符串的处理.avi
24.正则表达式.avi
25.stringr & stringi包.avi
26.时间与日期数据的处理.avi
27.lubridate包.avi
28.时间序列简介.avi
29.时间序列分析.avi
30.描述性统计.avi
31.t检验.avi
32.数据变换.avi
33.方差分析.avi
34.卡方检验.avi
35.回归分析与模型诊断.avi
36.模型诊断与Logistic回归.avi
37.生存分析与COX回归.avi
R CODES.rt
