Saturday, September 28, 2019

Re:(9) Business offer

To unsubscribe, send us an email with the subject 'unsubscribe' zBjE
We offer e-mail databases at affordable prices. zBjE
For marketing, advertising, newsletters. zBjE
This is the most effective way to attract customers for your business. zBjE
Country: Number of e-mail addresses: zBjE
US : 5 million zBjE
RU : 8 million zBjE
DE : 8 million zBjE
AU : 3 million zBjE
CA : 3 million zBjE
UK : 6 million zBjE
FR : 3 million zBjE
NZ : 1 million zBjE
COM 55 million zBjE
ALL WORLD 250 million zBjE

In addition, we can provide a base for any country in the world. zBjE

Our contacts: email.business.group@gmail.com zBjE
7753191 zBjE

Wednesday, September 18, 2019

18/09/2019

Good day to you.

We sent you an email yesterday about foundation project funding.

Do let me know if you received it so further details can be advised.

kindest regards,
fred Anderson
Email:wbfefft@aim.com

Saturday, September 14, 2019

Sir/Madam

Sir/Madam,

My name is Mr E. Hagler, and I have an investment management proposal for you, for more details, reply to this email immediately.

Thank you for your understanding.

Sincerely Yours,

Eugen Hagler

Tuesday, September 3, 2019

hello

Hello,
I am Mrs. Francisca Lister, Your email it still valid?
Please write Fred Anderson on fd.27@aol.com or call his direct telephone number +447759708698 for more details your grant of two million Five Hundred Thousand Euros.
Best Regards,
Mrs. Francisca Lister
London United Kingdom

Tuesday, August 6, 2019

Loan Offer...Apply Now

Dear Sir/Madam,

This is to inform you that our company is presently offering loans to interested persons at an affordable rate with the help and assistance from our banks.

We Offer Long And Short Term Loans to individuals and companies.Are you contemplating a business venture, seeking loans,funding or capital to finance existing hotels, office buildings, multi-family projects, other commercial project?

Do you need a LOAN for Business or you need a personal Loan. You can apply for a fast loan here and get it with ease. We can raise up to 500 Million United States Dollars to finance different kinds of projects.

For more details regarding our LOAN offer,you are advised to contact our office today via Email and provide the following:

Your Name:
Home Address/Country:
Mobile Telephone Number:
Occupation:
Loan Amount:
Loan Duration:

We are proud to say that, despite global economic uncertainty, we are still one of the World's fastest growing independent finance companies.

Contact us today for your Business/Personal Loans.

Respectfully Submitted,

Sarah Marconi
Financial/Loan Consultant

Friday, May 31, 2019

Abstract for talk at the MRC LMB Cambridge

Personal Genomics & Data Science 


In this seminar, I will discuss issues in transcriptome analysis. I 
will first talk about some core aspects - how we analyze the activity 
patterns of genes in human disease. In particular, I will focus on 
disorders of the brain, which affect nearly a fifth of the world's 
population. Robust phenotype-genotype associations have been 
established for a number of brain disorders including psychiatric 
diseases (e.g., schizophrenia, bipolar disorder). However, 
understanding the molecular causes of brain disorders is still a 
challenge. To address this, the PsychENCODE consortium generated 
thousands of transcriptome (bulk and single-cell) datasets from 1,866 
individuals. Using these data, we have developed a set of 
interpretable machine learning approaches for deciphering functional 
genomic elements and linkages in the brain and psychiatric disorders. 
In particular, we deconvolved the bulk tissue expression across 
individuals using single-cell data via non-negative matrix 
factorization and found that 
differences in the proportions of cell types explain >85% of the 
cross-population variation. Additionally, we developed an 
interpretable deep-learning model embedding the physical regulatory 
network to predict phenotype from genotype. Our model uses a 
conditional Deep Boltzmann Machine architecture and introduces lateral 
connectivity at the visible layer to embed the biological structure 
learned from the regulatory network and QTL linkages. Our model 
improves disease prediction (by 6-fold compared to additive polygenic 
risk scores), highlights key genes for disorders, and allows 
imputation of missing transcriptome information from genotype data 
alone. In the second half of the talk, I will look at the "data 
exhaust" from transcriptome analysis - that is, how one can find 
additional things from this data than what is necessarily intended. 
First, I will focus on genomic privacy: How looking at the 
quantifications of expression levels can potentially reveal something 
about the subjects studied, and how one can take steps to protect 
patient anonymity. Next, I will look at how the social activity of 
researchers generating transcriptome datasets in itself creates 
revealing patterns in the scientific literature. 


==

i0lon19-mrc



Abstract for talk at the UNIVERSITY OF BERN

Abstract: 


My talk will focus on how to leverage thousands of functional genomics datasets to deeply annotate the disease genome and perform data mining to discover disease-associated regulators and variations.

 

First, I will introduce our computational efforts to perform large-scale integration to accurately define distal and proximal regulatory elements (MatchedFilter) and then show how our extended gene annotation allows us to place oncogenic transformations in the context of a broad cell space; here, many normal-to-tumor transitions move towards a stem-like state, while oncogene knockdowns show an opposing trend.

 

Second, I will look at our comprehensive regulatory networks of both transcription factors and RNA-binding proteins (TFs and RBPs). I will showcase their value by highlighting how SUB1, a previously uncharacterized RBP, drives aberrant tumor expression and amplifies the effect of the well-known oncogenic TF MYC.

 

Third, I will introduce a workflow to prioritize key elements and variants. I will showcase the application of this prioritization to somatic burdening, cancer differential expression and GWAS (LARVA, MOAT & uORF tools). Targeted validations of the prioritized regulators, elements and variants demonstrate the value of our annotation resource.

 

Finally, I will put all these methods together through application to kidney and prostate cancers.


==

i0lon19-bern



Friday, May 17, 2019

Business Proposal

Premier Oil Plc,      
23 Lower Belgrave Street SW1W 0NR,
London.
Attention: Account/Finance manager
 
 
Hello, My name is Zachary Edward Noah, Account/Finance manager in (Premier Oil PLC).
I have a business proposal that will be beneficial to you and me.
please contact me for more details of the business to you. thanks.
 
Forward your response to this email: noahzachary642@gmail.com

Saturday, May 11, 2019

Hello

Hello,

A Japanese Company is currently seeking individual businesses or business expatriate to represent and act as an intermediary to her customers within Canada and US exclusively.

Best regards,
Zhang Min-hong.

Friday, May 3, 2019

Business Proposal

Premier Oil Plc,      
23 Lower Belgrave Street SW1W 0NR,
London.
Attention: The President/CEO
Business Proposal
Having consulted the bank here in United Kingdom and based on the information I got about you on the database of your country, I have the privilege to
request your partnership and assistance on the transfer the sum of Ј10,500,000.00 (Ten Million, Five Hundred Thousand Great British Pounds) into your bank
accounts within a couple of weeks.
The above sum resulted from a contract payment made into the corporate account of a foreign contractor that carried and completed a particular contract with
my company (Premier Oil PLC) Five Years ago. With the demise of the director few months after the payment in a Gas explosion the management of the bank
has expected the relative or business associates of this late contractor to put in claims on this fund without success, with the ongoing Brexit negotiation,  the
management of the bank has just sent an official letter to the management of my company (Premier Oil PLC) to provide the next of kin or business associate of
this late contractor within 14 bank working days or the fund be declared un claimable in accordance with the laws here in United Kingdom.
 
I am contacting you to stand as my foreign partner and trustee to enable me present you before the management of my company as the business associate of
this late contractor. It is important to inform you that as a staff of this company that this payment originated, I cannot claim this fund without the collaboration of
a foreign trustee, hence I have contacted.
 
The proceed should split between us 50% of the total sum is for me and 45% for you as my foreign trustee and partner 5% for local and international incidental
expenses in the course of actualizing this fund transfer into your nominated bank account.
In the execution of this project that is of mutual benefit to all, I will request you to forward to me the following details:-
(1)    Your Name in full.
(2)    Your contact Address in Full
(3)    Your direct Mobile/cell phone number.
(4)    Brief information on your profile, age and nature of work.
Be rest assured that this transaction is 100% risk free and whatever information should be restricted between us until this fund transfer into your nominated
bank account is actualized,  all arrangements have been well rehearsed and perfected on my side to guarantee the completion of this fund transfer within 14
Bank working days.
 
Forward your response to this email: noahzachary642@gmail.com
Best regards
Zachary Edward Noah

Wednesday, April 24, 2019

Good day

Good day,

The Iraq Ministry of Trade is actively seeking interested global service partners for key rebuilding and development projects inIraq.

Iraq is changing rapidly and as life is returning to normal, so too is economic activity. Demand for goods and services are growing, and the country is proving why many believe it to be one of the world's most attractive markets.

Iraq offers almost unparalleled opportunities to international corporations and investors. At the same time, Iraq can finally benefit from foreign investment into its economy. Iraq's needs are broad it ranges across all sectors.

I would like to know if you and your company will like to participate or help facilitate the urgent delivery of products and services to key development sectors of the Iraqi economy in all the provinces.

I work as a special international trade consultant with the Iraq Ministry of Trade, and my primary responsibility is to seek and connect partners and investors with the Iraq Ministry of Trade for profitable projects that address Iraq's needs and to ensure that the environment exists for simple entry into the Country.

Regards,
Rimarzik Matthias Ernst

Sunday, March 31, 2019

Re: Thank you!

TITLE: Genomics & Data Science

ABSTRACT:

Data science is currently popular because it allows the extraction of
useful information and commercial value from large-scale datasets.
Here I will describe biomedical data science, particularly from the
framework of genomics, which is one of the leading sub-fields under
the data science umbrella. First, I will talk about the increase in
data generation and data availability in this discipline, and how
genomics has developed methods to cope with data growth, and how these
methods interrelate with data science in general. Then, I'll go
through a number of key applications of biomedical data science,
particularly in relation to drugs and therapeutics, and focus on
finding drug targets for neuropsychiatric disease. This application of
data science makes extensive use of biological regulatory networks and
I will show how one can analyze these networks, in terms of analogies
to social networks and hierarchies.

Saturday, March 23, 2019

Fwd: Your upcoming Special Cell Circuits & Epigenomics seminar/visit on April 1st

TITLE:

Personal Genomics & Data Science

In this seminar, I will discuss issues in personal genome analysis.
In particular, I will focus on
disorders of the brain, which affect nearly a fifth of the world's
population. Robust phenotype-genotype associations have been
established for a number of brain disorders including psychiatric
diseases (e.g., schizophrenia, bipolar disorder). However,
understanding the molecular causes of brain disorders is still a
challenge. To address this, the PsychENCODE consortium generated
thousands of transcriptome (bulk and single-cell) datasets from 1,866
individuals. Using these data, we have developed a set of
interpretable machine learning approaches for deciphering functional
genomic elements and linkages in the brain and psychiatric disorders.
In particular, we deconvolved the bulk tissue expression across
individuals using single-cell data via non-negative matrix
factorization and non-negative least squares and found that
differences in the proportions of cell types explain >85% of the
cross-population variation observed. Additionally, we developed an
interpretable deep-learning model embedding the physical regulatory
network to predict phenotype from genotype. Our model uses a
conditional Deep Boltzmann Machine architecture and introduces lateral
connectivity at the visible layer to embed the biological structure
learned from the regulatory network and QTL linkages. It
improves disease prediction (by 6-fold compared to additive polygenic
risk scores), highlights key genes for disorders, and allows
imputation of missing transcriptome information from genotype data
alone.

In the second half of the talk, if there's time, I'll discuss various data
science issues in drug design, in particular in developing a predictor that
gives one's differential sensitivity to a drug, taking into account his or her
personal variants.

==
i0brd19

Tuesday, March 12, 2019

12~特邀~您聆~取 188 圆~用扣扣Q903401978惘zhi⑥0⑷957佃c-om

<我的眼睛怎样地从眼眶跃出,>菛威\<可怜一个人对于幸福太容易上瘾了!等到自私的幸福变成了人生唯一的>尼澌<嫩牛拖犁耙不打不跑>6<饶人算之本,输人算之机。>9<久住令人贱,频来亲也疏。>2<硬把它当作私人游乐的花园?>00<真正的朋友是一个灵魂寓于两个身体,两个灵魂只有一个思想,两颗心跳动是一致的。>24<乞丐跳舞穷快活 青竹竿掏茅坑越掏越臭 ><凡事豫(预)则立,不豫(预)则废。(《礼记》)>c<谁也不能将阳光装进自己的口袋。谁也不能将真理霸占。>0m特<都具有一种灵活强劲的保证,>邀您住<对你唱着:"你独身就一切皆空。">冊嶺㈡<粘米煮山芋糊糊涂涂 >㈩㈣<习与正人居之,不能无正也;犹生长于齐,不能不齐语也。><墙上栽花高种(中)>10<使你抛弃了我反而得到光荣:>0<人才虽高,不务学问,不能致圣。>缇現<心是灵魂的眼睛,而不是力量的源泉>

Thursday, February 14, 2019

RE: Abstract for keynote talk at MCBIOS '19, Birmingham, AL Mar 28-30th (* i0mcbios *)

Thank you, Mark! Yes, this will be a great topic for the audience. Look forward to meeting you next month. Feel free to email or contact me should you need any further help. My cell phone is 317.622.8881.

Jake

-----Original Message-----
From: Mark Gerstein <mark@gersteinlab.org>
Sent: Thursday, February 14, 2019 7:07 PM
To: Chen, Jake Y <jakechen@uab.edu>
Cc: glabstracts.mbglab@blogger.com
Subject: Abstract for keynote talk at MCBIOS '19, Birmingham, AL Mar 28-30th (* i0mcbios *)

Talk Title:

Brain Genomics

Abstract:

Despite progress in defining genetic risk for psychiatric disorders, their molecular mechanisms remain elusive. Addressing this, the PsychENCODE Consortium has generated a comprehensive online resource for the adult brain across 1866 individuals. The PsychENCODE resource contains ~79,000 brain-active enhancers, sets of Hi-C linkages, and topologically associating domains; single-cell expression profiles for many cell types; expression quantitative-trait loci (QTLs); and further QTLs associated with chromatin, splicing, and cell-type proportions. Integration shows that varying cell-type proportions largely account for the cross-population variation in expression (with
>88% reconstruction accuracy). It also allows the building of a gene
regulatory network, linking genome-wide association study variants to genes (e.g., 321 for schizophrenia). We embed this network into an interpretable deep-learning model, which improves disease prediction by ~6-fold versus polygenic risk scores and identifies key genes and pathways in psychiatric disorders.

URL:

resource.psychencode.org

Abstract for keynote talk at MCBIOS '19, Birmingham, AL Mar 28-30th (* i0mcbios *)

Talk Title:

Brain Genomics

Abstract:

Despite progress in defining genetic risk for psychiatric disorders,
their molecular mechanisms remain elusive. Addressing this, the
PsychENCODE Consortium has generated a comprehensive online resource
for the adult brain across 1866 individuals. The PsychENCODE resource
contains ~79,000 brain-active enhancers, sets of Hi-C linkages, and
topologically associating domains; single-cell expression profiles for
many cell types; expression quantitative-trait loci (QTLs); and
further QTLs associated with chromatin, splicing, and cell-type
proportions. Integration shows that varying cell-type proportions
largely account for the cross-population variation in expression (with
>88% reconstruction accuracy). It also allows the building of a gene
regulatory network, linking genome-wide association study variants to
genes (e.g., 321 for schizophrenia). We embed this network into an
interpretable deep-learning model, which improves disease prediction
by ~6-fold versus polygenic risk scores and identifies key genes and
pathways in psychiatric disorders.

URL:

resource.psychencode.org