Azimuth | Machine Learning-Based Predictive Modelling
kandi X-RAY | Azimuth Summary
kandi X-RAY | Azimuth Summary
The CRISPR/Cas9 system provides state-of-the art genome editing capabilities. However, several facets of this system are under investigation for further characterization and optimization. One in particular is the choice of guide RNA that directs Cas9 to target DNA: given that one would like to target the protein-coding region of a gene, hundreds of guides satisfy the constraints of the CRISPR/Cas9 Protospacer Adjacent Motif sequence. However, only some of these guides efficiently target DNA to generate gene knockouts. One could laboriously and systematically enumerate all possible guides for all possible genes and thereby derive a dictionary of efficient guides, however, such a process would be costly, time-consuming, and ultimately not practically feasible. Instead, one can (1) enumerate all possible guides over each of some smaller set of genes, and then test these experimentally by measuring the knockout capabilities of each guide, (2) thereby assemble a training data set with which one can "learn", by way of predictive machine learning models, which guides tend to perform well and which do not, (3) use this learned model to generalize the guide efficiency for genes not in the training data set. In particular, by deriving a large set of possible predictive features consisting of both guide and gene characteristics, one can elicit those characteristics that define guide-gene pairs in an abstract manner, enabling generalizing beyond those specific guides and genes, and in particular, for genes which we have never attempted to knock out and therefore have no experimental evidence. Based on such a set of experiments, we present a state-of-the art predictive approach to modeling which RNA guides will effectively perform a gene knockout by way of the CRISPR/Cas9 system. We demonstrate which features are critical for prediction (e.g., nucleotide identity), which are helpful (e.g., thermodynamics), and which are redundant (e.g., microhomology); then we combine our insights of useful features with exploration of different model classes, settling on one model which performs best (gradient-boosted regression trees). Finally, we elucidate which measures should be used for evaluating these models in such a context. See our official project page for more detail.
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Azimuth Key Features
Azimuth Examples and Code Snippets
Lines of Code : 16License : Permissive (MIT License)
Copyprivate Compass.CompassListener getCompassListener() {
return new Compass.CompassListener() {
@Override
public void onNewAzimuth(final float azimuth) {
// UI updates only in UI thread
// public String format(float azimuth) {
int iAzimuth = (int)azimuth;
int index = findClosestIndex(iAzimuth);
return iAzimuth + "° " + names[index];
} public void resetAzimuthFix() {
setAzimuthFix(0);
} Community Discussions
Trending Discussions on Azimuth
QUESTION
For the past days I've been trying to plot circular data with python, by constructing a circular histogram ranging from 0 to 2pi and fitting a Von Mises Distribution. What I really want to achieve is this:
- Directional data with fitted Von-Mises Distribution. This plot was constructed with Matplotlib, Scipy and Numpy and can be found at: http://jpktd.blogspot.com/2012/11/polar-histogram.html
- This plot was produced using R, but gives the idea of what I want to plot. It can be found here: https://www.zeileis.org/news/circtree/
WHAT I HAVE DONE SO FAR:
...ANSWER
Answered 2021-Apr-27 at 15:36This is what I achieved:
I'm not entirely sure if you wanted x to range from [-pi,pi] or [0,2pi]. If you want the range [0,2pi] instead, just comment out the lines ax.set_xlim and ax.set_xticks.
QUESTION
I was trying to make a code that could read a excel file, found which line corresponds to the data I want and then save the last value of that line.
The code I'm using is:
...ANSWER
Answered 2021-May-23 at 01:23import pandas as pd
tec = np_array[found_tec_line,5]
tec=pd.eval(tec)
QUESTION
I have two Models Site and Cell, every site has multiple Cells.
ANSWER
Answered 2021-May-21 at 15:41I managed to get what I want by using raw sql query plus the json_build_object and ST_AsGeoJSON of PostGIS extention:
QUESTION
I'm currently trying the capture the orientation Azimuth (rotation of finger) of multi touch inputs in Windows when a user touches a specific dialog. I'm using the QT C++ framework. I'm testing everything with the surface laptop 3. The issue is that I'm always getting a value of 0 when I try using QT: According to QT documentation:
...qreal TouchPoint::rotation() const
Returns the angular orientation of this touch point. The return value is in degrees, where zero (the default) indicates the finger or token is pointing upwards, a negative angle means it's rotated to the left, and a positive angle means it's rotated to the right. Most touchscreens do not detect rotation, so zero is the most common value.
ANSWER
Answered 2021-May-20 at 19:27The Issue is actually caused by 2 bugs in the current Windows Version.
1.Windows generates wrong vallues:
QUESTION
I need to iterate over a list of points to compute the distance of a line. But I'm getting an attribute error from this code I created. I think it's because I overload the addition function. How do I fix this so that I can compute the distances and store it in the list?
I tried to replace dist = Line(i,i+1).distance with dist = Line(i[0],i[1]).distance but it would yield an indexing error and I would need a overload function for indexing but it was not stated in the instructions.
ANSWER
Answered 2021-May-10 at 20:16try to replace these lines:
QUESTION
I need to overload the addition function so that it takes in the first point and the end point as the left and right side of the equation and outputs the equation. This is what my code looks right now. I'm not sure how to involve the line class?
...ANSWER
Answered 2021-May-10 at 17:54Add a
self.getCoords()call to yourPoint.__init__()method.Add
return Line(self, new_point)to yourPoint.__add__()method.
Testing:
QUESTION
I have some detector data collected on a 2D camera, I then convert it to a lab frame so I end up with an (x^2+y^2) and z coordinate for each pixel in the image. But then the object rotates about it's normal and there is an img for each rotation. I apply a rotation matrix to (x^2+y^2) to get x and y matrices for each img, so I end up with something like this for each image/angle. So every pixel has a 3D position and intensity.
ANSWER
Answered 2021-May-02 at 15:57First of all, note that you use double-precision here and that mainstream middle-end consumer GPUs are very slow to compute double-precision floating-point numbers. Indeed, a GTX 1660 Super GPU has a computing power of 5027 GFlops for simple-precision and only 157 GFlops for double-precision (32 times slower). One simple solution is to use simple-precision floating-point numbers in your code by specifying dtype=np.float32 or converting arrays using array.astype(np.float32). An alternative expensive solution could be to use professional GPUs dedicated for that if you cannot use simple precision or mixed-precision.
Moreover, several expressions can be pre-computed ahead of time and stored in constants. This includes for example math.cos(angi), math.sin(angi) and 1.0/SDD. Some other expressions can be stored in temporary variables as the compiler may not be able to efficiently factorize the code (mainly because of trigonometric functions).
Additionally, trigonometric functions are often very expensive, especially when you want the computation to be IEEE-754 compliant (which is likely the case for math.xxx calls). You can use approximations instead. CUDA provides the __cosf, __sinf and __tanf intrinsics for that which should be much faster (but be careful of the result if you use them). I am not sure you can call them directly but you can add the parameter fastmath=True to the JIT decorator which can do that for you.
I think using a 2D thread block of 32x8 may be a bit faster because threads are packed in warps containing 32 threads and the GPU. But the best solution is to check the performance with many different block sizes.
If all of this is not enough, you could try to use the shared memory to reduce the amount of instruction done per bloc as some expression are recomputed multiple times per bloc.
QUESTION
I am fairly new to python and would like to calculate sun's position (azimuth and zenith angle) from a datetime column of a dataframe.
I found Astral module for this task and also made some correct calculations from it using the individual timestamps. But when I try to process the whole datetime column, I get an error.
I also tried to localize the dataframe (datetime column) to a specific timezone, but the error remains the same.
Help appreciated.
Here is the code:
...ANSWER
Answered 2021-Apr-28 at 08:19Not sure how you got your code sample to work but basically, you can apply the solar_azimuth function to a pandas.Series like e.g.
QUESTION
I have a listener for my map zoom buttons:
...ANSWER
Answered 2021-Apr-22 at 11:49do you have any option in map framework for stopping current animation (e.g. move)?
if you have then just call it at the begining of click method
if not then imho this is a proper solution to introduce some variable lastClicked = System.currentTimeMillis() and checking if (System.currentTimeMillis() - lastClicked < 500) return at the begining of onClick
QUESTION
I have this dictionary and I need it to be formatted in a table like manner to a text file.
...ANSWER
Answered 2021-Mar-26 at 09:48You don't use the data from the dictionary in the format().
Also, consider using items() to iterate over key-value pairs of a dictionary as:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install Azimuth
You can use Azimuth like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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