splatter | Simple simulation of single-cell RNA sequencing data | Genomics library
kandi X-RAY | splatter Summary
kandi X-RAY | splatter Summary
Splatter is an R package for the simple simulation of single-cell RNA sequencing data. Splatter provides a common interface to multiple simulations that have:. Splatter is built on top of scater and stores simulations in SingleCellExperiment objects. Splatter also has functions for comparing simulations and real datasets.
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QUESTION
That's might be a dumb question, but I was reading a book and they splattered to me this code
...ANSWER
Answered 2021-Oct-10 at 01:25An array, whether one-dimensional, two-dimensional, or more, does not point to anything. It is a set of objects of the same type in contiguous memory.
After int arr[6][8];
, arr
is an array of 6 arrays of 8 int
. If each int
uses four bytes, then the entire array uses 6•8•4 = 192 bytes in memory, and sizeof arr
will evaluate to 192, because arr
is the array, and sizeof
gives the size of its operand.
When you use arr
in an expression, it will be automatically converted to a pointer to its first element, except when it is the operand of sizeof
or of unary &
.1 Because arr
is an array of arrays, its first element is also an array. The first element of arr
is arr[0]
, which is an array of 8 int
. So, in arr+1
, arr
is converted to a pointer to its first element. That pointer is &arr[0]
, the address of arr[0]
.
When an integer, say n is added to a pointer, the result points to n further elements long in the array. So, when we add 1 to &arr[0]
, we get &arr[1]
. Thus, in arr+1
, arr
is automatically converted to &arr[0]
, producing &arr[0]+1
, and then the addition produces &arr[1]
.
Thus, arr+1
is &arr[1]
, which is also the place where arr[1][0]
is. (Note that while &arr[1]
and &arr[1][0]
point to the same place in memory, they have different types, so the compiler treats them differently when doing arithmetic with them.)
After int *ptr = &arr[0][0];
, ptr
of course points to arr[0][0]
. Then ptr+8
points to where arr[0][8]
would be if there were such an element. Of course, there is no, since arr[0]
has only elements from arr[0][0]
to arr[0][7]
. ptr+8
points one beyond arr[0][7]
.
That pointer arithmetic is defined by the C standard; you are allowed to point “one beyond the last element.” However, that is only a placeholder pointer, useful for arithmetic and comparisons. The C standard does not happen when you dereference the pointer, with *(ptr+8)
.
We know that arr[1][0]
is in the place where arr[0][8]
hypothetically would be. However, the C standard does not give us rules that say we can definitely use *(ptr+8)
to access arr[1][0]
. So that code does not have behavior defined by the C standard. Many compilers will treat it has accessing arr[1][0]
, though.
As you note, *(*(arr+1))
can be used to access arr[1][0]
. The way this works is:
arr
is automatically converted to&arr[0]
.- Adding 1 gives
&arr[1]
. *
dereferences&arr[1]
, producingarr[1]
.arr[1]
is an array, so it is automatically converted to a pointer to its first element. This produces&arr[1][0]
.*
dereferences&arr[1][0]
, producingarr[1][0]
.
In contrast, *(*(arr+8))
does not work to access arr[1][0]
:
arr
is automatically converted to&arr[0]
.- Adding 8 gives
&arr[8]
.
Now we are well beyond where arr
ends. arr
has only elements from arr[0]
to arr[5]
, so arr[8]
is beyond the end.
Note that adding 8 to &arr[0]
moved the pointer by 8 elements of the arr
array, not by 8 eleemnts of the arr[0]
array. That is, it moved it by 8 arrays of 8 int
, not by 8 int
. That is because the type of &arr[0]
is “pointer to array of 8 int
”, not “pointer to int
”.
When you add 8 to a “pointer to int
”, you move it by 8 int
. When you add 8 to a “pointer to an array of 8 int
”, you move it by 8 arrays of 8 int
.
1 All arrays are automatically converted like this, and there is one more exception for string literals. When a string literal, which is an array of characters, is used to initialize a character array, it is not automatically converted to a pointer.
QUESTION
My training images are made up of blue channels extracted from the ELAs (Error Level Analysis) of some spliced images and the labels just consist their corresponding ground truth masks.
I've have constructed a simple encoder-decoder CNN given down below to do the segmentation and have also tested it on the cell membrane segmentation task. There it performs well and creates near to ground truth images, so I guess the neural network I created is capable enough.
However, it is not working on the spliced images on CASIA1 + CASIA1GroundTruth dataset. Please help me to fix it, I have spent too many days on it trying different architectures and pre-processing on the images but no luck.
For one, it is claiming such high accuracy (98%) and low losses but the output image is so wrong. It is sort of getting the wanted mask if you look carefully but along with it there are a lot of regions splattered with white. Seems like it is not able to get the difference in the intensities of the pixels for the wanted region vs the background. Please help me fix it :(
Preparation ...ANSWER
Answered 2020-Oct-17 at 22:10Oops, I did a stupid one. In order to see what I have picked up for testing from the X array, I multiplied that array by 255 cause PIL doesn't display arrays in 0-1 range. Mistakenly, I just used the same modified variable and passed it in test/prediction.
QUESTION
ANSWER
Answered 2020-Jun-19 at 07:42I updated code to look like attached gif.
You can use 'AnimatedPositioned' Widget like below.
QUESTION
I'm having an issue with Matplotlib v 3.1.3 from conda-forge with python 3.7. I have all of the dependencies required for Matplotlib. When I enter this code, which should work. I get splatter art. It's based on this youtube tutorial: https://www.youtube.com/watch?v=LWjaAiKaf8&list=PL-osiE80TeTvipOqomVEeZ1HRrcEvtZB&index=8
...ANSWER
Answered 2020-Jun-01 at 11:40It seems that the default setting in plot_date() is set to scatterplots (see (https://www.geeksforgeeks.org/matplotlib-pyplot-plot_date-in-python/) in the newer versions of matplotlib.
To achieve a continuous graph based on dates, you can define the interlining in the arguments plt.plot_date(x_value, y_value, '-')
.
This code works for me:
QUESTION
I have a simple table set up with a generator above it that varies in text lengths. Every so often I get an extra line and that shifts my table down. Is there any way I could keep my table fixed in one position?
Please ignore the Javascript and only look at CSS and HTML, specifically the sections related to ButtonSection and the Table. Thanks
...ANSWER
Answered 2020-May-02 at 08:29You could try and wrap the text that varies in length in a div element and fix it's height, so that the longest text doesn't move the table.
In your html:
QUESTION
So I'm trying to fetch reddit posts data using praw and turn it into a JSON Lines file.
What I need is something like this:
...ANSWER
Answered 2020-May-01 at 15:25This is an interesting way to want to store the data. I can't say that I'd use this approach myself, since it involves duplicating the same information over and over again.
To achieve this, you'll need to manage a stack containing the current context, and use recursion to get each comment's children:
QUESTION
I just built my first AWS Apache Server and uploaded my website from my school project. The site works in Dreamweaver. However on my Apache server only some of the images appear. They all have the same path and are contained in the same folder /var/www/html/images. Some appear as intended, others are a broken link. Any ideas why it's not working? To get css to load I had to move my css folder. With the images some work fine while others do not. They are roughly the same size files. This is the code for one of the non working images:
...ANSWER
Answered 2020-Feb-26 at 00:25I found that the file extension on some of the pictures was capitalized. These pictures wouldn't load until I changed .JPG to .jpg.
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