修改正负链用到的参数为--flip 假定trial.bim的内容如下: trial.bim 1 rs142578063 0 732746 G A 1 rs144022023 0 732801 G A 1 rs12131618 0 732809 C T 1 rs369225293 0 732909 A G 1 rs373491075 0 732935 C G 1 rs369030935 0 732989 T C 1 rs4951860 0 733013 C T 1 rs367917297 0 73…
在合并数据过程当中,经常会发现不同来源的数据正负链不是统一的,这是一件很头疼的事. 正负链没有统一的情况下直接合并在一起会产生什么后果呢. 举个最简单的例子,假如我们从小明和小红分别拿到了一批基因型数据.那么存在以下几种可能:1)小明的基因型数据统一好正链或者负链:2)小红的基因型数据统一好正链或者负链:3)小明和小红都不知道他们的数据有没有统一好,反正数据拿给你了,你自己解决. 在我们不知道这两人的基因型数据正负链是否统一的情况下,如果直接合并这两个不同来源的数据,会产生什么情况呢? 对于大多…
Interleaving Positive and Negative Numbers 原题链接 : http://lintcode.com/zh-cn/problem/interleaving-positive-and-negative-numbers/ Given an array with positive and negative integers. Re-range it to interleaving with positive and negative integers. 注意 Yo…
Given an array with positive and negative integers. Re-range it to interleaving with positive and negative integers. Note: You are not necessary to keep the original order of positive integers or negative integers. Example Given [-1, -2, -3, 4, 5, 6]…
Given an array with positive and negative integers. Re-range it to interleaving with positive and negative integers. Example Given [-1, -2, -3, 4, 5, 6], after re-range, it will be[-1, 5, -2, 4, -3, 6] or any other reasonable answer. Note You are not…
https://www.quora.com/Why-do-people-use-gradient-boosted-decision-trees-to-do-feature-transform Why is linearity/non-linearity important?Most of our classification models try to find a single line that separates the two sets of point. I say that they…
假设存在文件file1.xlsx,其内容如下: 存在文件file2.xlsx,其内容如下: 现在我想从第七列开始,将file2所有的字符替换成file1一样的,即第七.八.九.十列不需要改变,因为file1和file2的字符一致的(3和1,2和4):从第11列开始,file1和file2的字符不一样了.我的命名规则是从第11列开始,file2的2改为3,4改1,3改为2,1改为4: 下面是代码的实现过程: install.packages("openxlsx") #安装openxlsx…
期望的目录结构: Folder --- | --- build.bat | --- Source | --- All sources codes *.cpp *.h | --- Android --- jni | --- Android.mk, | --- Application.mk | --- SomeHeaderFile.h | --- Output | --- armeabi-v7a --- xxx.so | --- x86 --- xxx.so 期待的是在Android-jni目录下,…
What are the advantages of different classification algorithms? For instance, if we have large training data set with approx more than 10000 instances and more than 100000 features ,then which classifier will be best to choose for classification Want…
faster rcnn默认有三种网络模型 ZF(小).VGG_CNN_M_1024(中).VGG16 (大) 训练图片大小为500*500,类别数1. 一. 修改VGG_CNN_M_1024模型配置文件 1)train.prototxt文件       input-data层的num_class数值由21改为2:       roi-data层的num_class数值由21改为2:       cls_score层的num_output数值由21改为2(1+1):       bbox_pred…