Congratulations to Ying-Wooi Wan. Her collaborative work with Dr. Bellen’s lab was accepted by Cell.
A grant from hearing health foundation has been awarded to us in collaboration with the Groves lab to study the hair cell regeneration.
NATURE METHODS | RESEARCH HIGHLIGHTS | METHODS IN BRIEF GENOMICS miRNA profiling depends on platform Nature Methods 11, 369 (2014) doi:10.1038/nmeth.2905 Published online 28 March 2014 Wan, Y.-W. et al. PLoS One 9, e87782
Our study on the Cancer Genome Atlas (TCGA) project was noted by genome web.com http://www.genomeweb.com/sequencing/last-weeks-clinical-sequencing-papers-note-13
Tools produce different answers in microRNA profiles When researchers at Baylor College of Medicine (www.bcm.edu) sought to mine The Cancer Genome Atlas for information on the effects of small bits
Our study on the reproducibility between miRNA microarray and sequencing technology was published in PLOS ONE [PDF]. This study found that large percentage of miRNAs demonstrated poor correlation between the
Kaifang’s paper on combinatorial drug therapy through mixed integer linear programming was accepted for publication in Bioinformatics as an original research article.
Welcome to Denise who has now formally joined our group as a postdoctoral fellow!
Congratulations to Andrew for passing his qulification exam.
We just got two collaborative awards with Sardiello and Mirjana Maletic-Savatic lab. These two grants will enable us to generate a strong set of preliminary data for our future grants.
http://news.rice.edu/2013/11/13/new-statistical-tools-being-developed-for-mining-cancer-data/
Congratulations to William who just won the 1st place in Graduate Student Research Symposium!
Our paper titled ‘IDENTIFYING CANCER BIOMARKERS THROUGH A NETWORK REGULARIZED COX MODEL’ has been accepted as a regular paper to be presented in the 2013 IEEE International Workshop on Genomic
Congratulations to Sangeetha and Wooi. Their paper on ” NLRP7 affects trophoblast lineage differentiation, binds to overexpressed YY1 and alters CpG methylation” was accepted by Human Molecular Genetics.
National Science Foundation DMS-1263932 collaborative grant to study “Statistical Methods for Integrated Analysis of High-Throughput Biomedical Data”, September 2013-2017, with Genevera Allen and Pradeep Ravikumar. In the joint DMS/NIGMS Initiative
Congrats to Wen Zhang who has been chosen to receive an ICIBM 2013 Student & Trainee Travel Award.
Congrats to Wen Zhang and Wooi Wan for their manuscript “Molecular pathway identification using biological network-regularized logistic models” that was accepted by BMC Genomcis!
Expression and Functional Pathway Analysis of Nuclear Receptor NR2F2 in Ovarian Cancer http://jcem.endojournals.org/content/early/2013/05/20/jc.2013-1081.abstract
Congratulations to William Choi! He was selected as one of the two recipients of the NLM Biomedical Informatics fellowship.
Our paper on “Expression and Functional Pathway Analysis of Nuclear Receptor NR2F2 in Ovarian Cancer” was accepted by The Journal of Clinical Endocrinology & Metabolism.
Human-specific regulation of MeCP2 levels in fetal brains by microRNA miR-483-5p http://genesdev.cshlp.org/content/27/5/485.abstract
Our paper on LLGM was accepted by IEEE Transactions on NANOBIOSCIENCE.
Congratulations to our collaborator Marco! Our R01 is funded by NIH. We will work with the Sardiello lab to study TFEB functions on lysosomal diseases.
Congratulations to Eunho, Pradeep and Genevera. Our paper on “Graphical Models via Generalized Linear Models” was accepted by NIPS 2012 There were a record 1467 submissions to NIPS this year,
Our recent paper on Poisson Graphical Network was accepted by IEEE BIBM 2012 as a full article! Congrats!
We were just awarded a Baylor College of Medicine Computational and Integrative Biomedical Research Seed Grant for a proposal entitled, “Integrating Genetic Networks to Discover Biomarkers for Glioblastoma”. The grant is for
Congratulations to Yi Zhong. Our paper on gene expression deconvolution in linear space was accepted by Nature methods. Good job!
Welcome to the Liu Lab at Baylor College of Medicine. Our lab develops bioinformatics approaches for analyzing high throughput biological data, such as gene expression arrays, RNA-seq and genomic sequencing