Team Activities
Workshops, seminars, and team building events.
Activities
Annual Lab Retreat 2024
The team went to the seaside for a weekend of team building and brainstorming.
AI Summer School Workshop
We hosted a 3-day workshop on Deep Learning for undergraduates.
Keynote at CVPR 2024
Prof. John Doe gave a keynote speech on the future of Vision Transformers.
Latest News
Using AI to improve diagnosis of rare genetic disorders
AI-MARRVEL (AIM) machine learning system developed to help prioritize potentially causative variants for Mendelian disorders, published in NEJM AI.
Texas Children's Hospital Inaugurates a New Data Science Center
Texas Children's Hospital inaugurates new Data Science Center at Duncan NRI with Dr. Liu as Chief of Computational Sciences, serving as a centralized research hub.
Our scRNA-seq imputation paper has been published in Bioinformatics.
PRIME imputation method for reducing dropout effects in single-cell RNA-seq published in Bioinformatics, improving visualization and clustering analysis.
We won the Allen Institute Cell Lineage Reconstruction DREAM Challenge
Jingyuan Hu and Dr. Zhandong Liu won the subchallenge 1 of the Allen Institute Cell Lineage Reconstruction DREAM Challenge! Congratulations! Details and list of the winners are available at:
Our analysis on the link between AD and HHV virus is published on Neuron.
Analysis on the link between Alzheimer's disease and human herpesvirus infection published in Neuron.
Dr. Hari Krishna Yalamanchili receives the 2018 NRI Zoghbi Scholar Award
Dr. Hari Krishna Yalamanchili awarded $50,000 NRI Zoghbi Scholar Award for innovative research on cryptic splicing in amyotrophic lateral sclerosis.
Our long gene paper has been published in Nature Communications!
Nature Communications paper showing apparent long-gene bias in MeCP2 datasets disappears after accounting for baseline variability, with platform-specific effects.
We are hiring!
Seeking bioinformatics analyst/programmer to develop bioinformatics pipelines for high-throughput genomics, transcriptomics, and proteomic data analysis.
Dr. Liu receives distinguished service award!
Dr. Liu honored with distinguished service award from the International Association for Intelligent Biology and Medicine (IAIBM).
Our transposable element paper has been published in Cell Reports!
Cell Reports paper on tau-mediated activation of transposable elements in Alzheimer's disease, revealing genomic instability mechanisms using 636 human brains.
Congratulations to Hari and Aya for their Nature Neuroscience paper!
Nature Neuroscience paper showing genome-wide distribution of linker histone H1.0 is independent of MeCP2, contradicting previous competition hypothesis.
Our Transposable Element quantification pipeline paper has been accepted by PSB 2018.
SalmonTE tool for rapid quantification of transposable elements from RNA-seq data accepted by Pacific Symposium on Biocomputing 2018, achieving 20x faster speed.
Our MARRVEL is selected as a Best of AJHG 2016-2017!
MARRVEL paper selected as one of top 9 best papers of American Journal of Human Genetics in 2016-2017.
Our paper on Batch Detection is out in Bioinformatics!
DASC batch detection algorithm published in Bioinformatics, demonstrating superior performance in identifying hidden batch effects in RNA-seq data.
Our CRISPRcloud paper has been published in Bioinformatics!
CRISPRcloud tool for secure cloud-based analysis of pooled CRISPR screening data published in Bioinformatics.
Our MARRVEL paper has been published in AJHG!
MARRVEL tool for integration of human and model organism genetic resources to facilitate functional annotation of the human genome published in American Journal of Human Genetics.
Our collaborative work is accepted by Nature Genetics.
Research on ATXN1-CIC complex disruption and its neurobehavioral phenotypes published in Nature Genetics.
CPRIT Computational Award
Lab awarded CPRIT grant ($889,679) for developing a network-guided, multi-objective optimization model for cancer data analysis.
Deep into mRNA-splicing - CrypSplice
CrypSplice tool developed to discover non-canonical splicing events in RNA-sequencing data.
TCGA2STAT and protein data portal.
Release of TCGA2STAT tool and protein data portal for analyzing The Cancer Genome Atlas data.
Congratulations to Wooi and Sztainberg for their Nature Paper.
Nature paper showing correction of MeCP2 levels can reverse behavioral, molecular and electrophysiological deficits in MECP2 duplication syndrome, with implications for therapeutic approaches.
MicroRNA and Shank3 work published in molecular brain.
Study on post-transcriptional regulation of SHANK3 expression by microRNAs published in Molecular Brain, revealing implications for multiple neuropsychiatric disorders.
Our new profile on Benefunder.
Liu Lab research profile now available on Benefunder, a platform connecting philanthropists with innovative research projects.
The Siemens Competition in Math, Science & Technology
Kanchana selected as semi-finalist in The Siemens Competition in Math, Science & Technology.
Congrats to Kanchana Raja for getting a first place award from the American Statistical Society and third place award in the Computer Science division.
Kanchana Raja wins first place in American Statistical Society and third place in Computer Science division at Houston Science Fair.
Congrats to Andrew Laitman for getting the NLM training fellowship!!!
Congratulations to Andrew Laitman for receiving the National Library of Medicine Biomedical Informatics training fellowship.
Joint work with Dr. Anderson funded by CPRIT.
Joint project on Viral MicroRNAs in Ovarian Cancer Growth and Metastasis funded through Cancer Prevention and Research Institute of Texas (CPRIT).
Collaborative work published in Cell.
Congratulations to Ying-Wooi Wan on her collaborative work with Dr. Bellen's lab published in Cell.
A grant from Hearing Health Foundation.
Grant awarded from Hearing Health Foundation for hair cell regeneration research in collaboration with the Groves lab.
Our paper is highlighted by Nature Methods
Research on miRNA profiling platform differences highlighted in Nature Methods research highlights, emphasizing the importance of cautious interpretation of results across different technologies.
Our Paper is noted by GenomeWeb.com
Lab's Cancer Genome Atlas (TCGA) study featured in GenomeWeb.com.
Our research in BCM news
Research on miRNA analysis methods featured in Baylor College of Medicine news, revealing significant differences between microarray and sequencing techniques in identifying cancer-associated microRNAs.
On the reproducibility of miRNA profiling techniques.
Study on reproducibility between miRNA microarray and sequencing technologies published in PLOS ONE, showing poor correlation between platforms.
Paper on combinatorial drug therapy was accepted by Bioinformatics as an original research article.
Kaifang's paper on combinatorial drug therapy using mixed integer linear programming accepted by Bioinformatics.
Welcome, Denise!
Welcome to Denise, who has joined the Liu Lab as a postdoctoral fellow.
Congratulations to Andrew for passing his qulification exam.
Congratulations to Andrew for successfully passing his qualification exam.
Two CIBR Awards
Awarded two collaborative Computational and Integrative Biomedical Research grants with the Sardiello and Maletic-Savatic labs to generate preliminary data for future funding.
Our research in Rice news!
Lab research on statistical tools for mining cancer data featured in Rice News.
William won the 1st place in Graduate Student Research Symposium.
Congratulations to William for winning first place in the Graduate Student Research Symposium.
Paper accepted by IEEE GENSIPS 2013.
Paper on identifying cancer biomarkers through network-regularized Cox model accepted for presentation at IEEE International Workshop on Genomic Signal Processing and Statistics.
Paper accepted by HMG
Sangeetha and Wooi's paper on NLRP7's role in trophoblast lineage differentiation and CpG methylation accepted by Human Molecular Genetics.
An NSF Grant Awarded
NSF collaborative grant (DMS-1263932) awarded for Statistical Methods for Integrated Analysis of High-Throughput Biomedical Data, 2013-2017, rated highly competitive by NSF panel.
Wen received an ICIBM 2013 Student & Trainee Travel Award
Wen Zhang selected to receive the ICIBM 2013 Student & Trainee Travel Award.
LogitLapnet accepted by BMC Genomics!
Wen Zhang and Wooi Wan's manuscript on molecular pathway identification using biological network-regularized logistic models accepted by BMC Genomics.
Our collaborative work was published in JCEM
Expression and Functional Pathway Analysis of Nuclear Receptor NR2F2 in Ovarian Cancer published in The Journal of Clinical Endocrinology & Metabolism.
William got the NLM training fellowship
Congratulations to William Choi, selected as one of the two recipients of the NLM Biomedical Informatics fellowship.
Congratulations to Drs. Wan and Anderson!
Paper on Expression and Functional Pathway Analysis of Nuclear Receptor NR2F2 in Ovarian Cancer accepted by The Journal of Clinical Endocrinology & Metabolism.
Our Collaborative work on Mecp2 and its miRNA regulator is the cover of Genes & Development.
Collaborative study on human-specific regulation of MeCP2 levels in fetal brains by microRNA miR-483-5p, featured as the cover story in Genes & Development.
Our paper on LLGM was accepted by IEEE Transactions on NANOBIOSCIENCE.
Our paper on Linear Laplace Graphical Model (LLGM) accepted by IEEE Transactions on Nanobioscience.
Congratulations to Marco!!!!
Our R01 grant funded by NIH to study TFEB functions on lysosomal diseases in collaboration with the Sardiello lab.
NIPS paper accepted!!!
Paper on Graphical Models via Generalized Linear Models accepted by NIPS 2012. One of only 20 papers selected for full oral presentation from 1467 submissions.
Paper accepted by IEEE BIBM
Our paper on Poisson Graphical Networks was accepted by IEEE BIBM 2012 as a full article.
CIBR award.
Awarded a Baylor College of Medicine Computational and Integrative Biomedical Research Seed Grant for integrating genetic networks to discover biomarkers for glioblastoma, in collaboration with Dr. Genevera Allen.
Paper accepted by Nature Methods
Congratulations to Yi Zhong for his paper on gene expression deconvolution in linear space, accepted by Nature Methods.
Welcome
Welcome to the Liu Lab at Baylor College of Medicine. Our lab develops bioinformatics approaches for analyzing high throughput biological data.