USC Safety Chart

Exactly Speaking, the title should be USC unsafety chart.

The following map shows the distribution of criminal activities around USC area. The data is based on DPS crime alerts since Aug. 16, 2007. From the map we can see four hot spots and one noticeable line. The four spots are W 37th St. & Vermont, Orchard & Jefferson, W 30th St. & McClintock, W. 27th St. & Hoover. The most dangerous line is Hoover St. from USC gate 4 to Adam Blvd.

These hot spots may be explained by the criminals' behavior. They often linger around certain spots. Once they find a right target, they attack and flee. The above spots are hubs from USC campus to students' residence, so it is easy for them to find a target there. And They can easily escape in main streets by car. It's rare that they wait around your residence or break into your residence because its risk is too high for them. So, it matters most on the way from the campus to your residence, and less where you live.

I will update this map when new incident occur (I hope not). You can bookmark this map with this url .



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Disclaimer of Warranty.
THERE IS NO WARRANTY FOR THE MAP AND INFORMATION ABOVE. IT INTENDS TO BE USEFUL, BUT FOLLOW IT AT YOUR OWN RISK

Eureka! --Letters from Los Angeles

"Eureka!" is the motto of California and "Find Yourself Here" is the slogan. These two phases exactly describes my feeling during the past month at USC and Los Angeles. "Eureka!" represents the delight of discovery. "Find Yourself Here" means the progress of adjusting to the new life here.

Excited and curiously, I have been exploring this new world. The buildings in campus are mostly grand structures. They are built of red-orange ( people here calls it cardinal) ) bricks. Under the strong sunshine here, they are so vivid that you may wonder whether they are real. I was again impressed when I walked into one reading room in Doheny Library. It is about one hundred meters long, twenty meters high and more than ten meters high. With tall bookshelves lining near the wall and large dark-red tables standing in the middle, it makes me hold my breath for a while. Though I didn't shout it shout, the word "Eureka" really came into my mind at that time.

As of Los Angeles, I like the shiny sun, the blue sky, the beautiful buildings, gardens and tall palm trees here and there. The houses off campus are two or three storied, most with a delicate garden. My apartment is about ten minutes walk from campus. ( My Apt. -Birthplace of Adlai Stevenson III). When I am free in the afternoon, I sit by the window, looking at the skyline of downtown. It feels great.

However my exploration of Los Angeles is limited to the district close to campus. Los Angeles is so big that one cannot really explore it without a car. Additionally, the warning against criminal activities discourages our ambition to go far by bus. I hope I will have more chances to cry out "Eureka" in the future.

Now I will tell how I find myself here. First, I can proudly declare that I has successfully lived on my own for nearly two weeks. After one week's free meal and another few days' meal in my classmates' home, I began to cook myself. I can't boast the deliciousness of my food, but at least in my opinion it tastes fine:-).

This semester began from last week. I take four courses this semester: two biological courses, one math course and one computer course. I have studied these materials more or less in China. So the main difficulty is language. The instructors of biology and math speaks a little blurred ( one of them from Russia:-) ). I need to try me best to follow. The instructors of algorithm speaks very clear English. Her course really restores my somewhat dwelled confidence in English because I can understand every word:-). In the coming year, besides the four courses, I need to work hard to improve my English, both written and spoken.

Again I can proudly declare that I received my first stipend yesterday. It is about two thousand dollars. Really wonderful:-). I begin to plan to buy a computer, learn to drive, etc and I even think of a trip to Canada in the winter, hehe.

My Apt. -Birthplace of Adlai Stevenson III

This is my apartment at Los Angeles. It is the birthplace of Adlai Stevenson III. When i introduced this house to my friend:"A famous American was born here", he commented, "In some years people will say 'A famous Chinese worked here '.". I lives in the upstairs room in the middle. My room is a half studio, i.e. I have my own bedroom and kitchen but share bath rooms with some tenants. They are two Indians, one Taiwanese and one Philippinos.

The above photo is taken by Floyd B. Bariscale. And please see his blog for more about this house. http://bigorangelandmarks.blogspot.com/2007/06/no-35-birthplace-of-adlai-e-stevenson.html

I Choose What I Love vs. I Love What I Choose

Finally I decided to go to USC. During the last few days before April 15, I contacted several faculties at the Joint CMU-Pitt Program in Computational Biology. The responses were rather disencouraging: three of them had no funds and two did not responded at all. When Prof. Sun, the chair of USC Computational Biology Program, called me on Apr. 14th evening, saying I should not play game, I realized I cannot wait any more. I sent the acceptance letter on Apr. 15 morning, Prof. Sun replied soon and asked me why I insisted on waiting for CMU's offers. I told him my idea frankly.

I have been fascinated with supercomputing since I got in touch with computer in high school. CMU's reputation in computer architecture and high performance computation has been haunting in my mind since then. Especially, Prof. Joel R. Stiles at CMU are heading the Center for Quantitative Biological Simulation in Pittsburg Supercomputing Center. It is a long-lasting idea in my mind to model live organisms in computer and study their behavior. I should honestly admit that my understanding of biological simulation is limited, but the love for it is something that cannot be explained with logic

I should be happy that the time-consuming and tedious application is over, but I felt hurt and disappointed. I used to believe that I am among the few potentially being able to do something really wonderful in biological simulation. And all faculties I contacted consider me competitive. Finally I could not choose what I love.

Sentimentality makes no use. I pretended to be as determinant as possible, sending back paper files, asking classmates at USC to arrange room, planning for my study at USC and telling my family the news. I would like to thank uncle, sister and mama for their encouraging congratulations. If nothing else had not happened, I would have gradually recovered from the heartbroken feeling of missing CMU opportunity and leisurely enjoy Hefei's spring.

Ironically, I received three mails in a line yesterday, one from McGill and two from CMU/Pitt program, asking whether I am still interested in their program. Just imagine that: when you are pursuing a pretty proud girl, she rejects you; you first feel heart-broken and then try to forget her and gradually you decide to love another girl; but now the previous girl comes back and ask whether you still love her, and she is so lovely. That is my feeling now.

If I choose what I love, I hurt USC's heart and I will feel guilt forever; If I love what I choose, I will definitely regret to miss such a pretty CMU. I hate such choices!

Offer of USC

When I am preparing the application material of USC, I had an intuitive feeling that they would accept me. The somewhat comic interview with Prof. Xianghong Zhou intensified my feeling. Even during the hard time when some classmates received offer of USC, I still believed that USC would not disregard me. And now, it comes. Congratulations to myself.

I felt that if you have put enough effort into something, you will never be disappointed at last. The saying that "No pains, no gains" tells some truth, but is a little passive, because it implies the situation that you may gain nothing though you worked, e.g "Pains, Still No Gains". God will not be so injustice. I would like to revise it to "Pains, Gains".

I still have a strong feeling that CMU will accept me. I hope my intuition will come true again.

Related previous post:
Interview with Prof. Xianghong Zhou
面试USC

Hurray! Interview Invitations from USC

After nearly a week's nervous waiting, I received my first interview invitation from USC yesterday. Prof. Xianghong Zhou wrote me the email, and it is possibly she will interview me. I visited her lab's website when I chose schools. She is a Chinese, assistant professor, with a sweet smile. Hopefully she will not be too strict with me in interview.

Well, know yourself and know your enemy, you will never be beaten even in a hundred of battles. I plan to read her papers in the next two days. Her research is centered around methodological study of integrating cross-platform microarray datasets. I have just read her paper of Gene Aging Nexus. She may has a rigorous requirement of statistics. (My disadvantage is my rather limited mathematical vocabulary!) I feel confident in my computer knowledge and programming ability.

Go on! Fighting!

Comments on Zhou's papers:
1. Gene Aging Nexus: A Web Database and Data Mining Platform for Microarray Data on Aging
keywords:
meta-analysis: by first extracting expression patterns form individual microarray datasets and then identifying recurrent signals, these approaches may enhance signal-noise separation.
differential expression analysis:
co-expression analysis: Zhou proposed a new method to mine regulatory modules in previous papers Mining dense subgraphs across massive biological networks for functional discovery.
no major biological breakthrough.

2. Integrative missing value estimation for microarray data
Question Answered:
Due to the inherent noise and the limitation of experimental systems, a microarray dataset on average has more than 5% missing values, affecting more than 60% of the genes. Such missing values made some subsequent analysis methods inapplicable or greatly decrease their performance. Thus the question of missing value estimation.

Basic Idea:
How to choose neighboring genes when not enough information is available in internal microarray dataset. Intuitively, if a set of genes frequently show expression similarity to the target gene over multiple data sets, they constitute a robust neighborhood which tend to show expression co-variations with the target gene.

other concepts:
LLS Local Least Square
Bayesian principle component analysis
singular value decomposition
support vector machines