| scholarly article | Q13442814 |
| P2093 | author name string | Saurabh Sinha | |
| Xiaoman Xie | |||
| Casey Hanson | |||
| P2860 | cites work | An integrated encyclopedia of DNA elements in the human genome | Q22122150 |
| The NHGRI GWAS Catalog, a curated resource of SNP-trait associations | Q24568334 | ||
| HOCOMOCO: a comprehensive collection of human transcription factor binding sites models | Q24595809 | ||
| Accurate inference of transcription factor binding from DNA sequence and chromatin accessibility data | Q24614616 | ||
| Rapamycin and mTOR kinase inhibitors | Q24644623 | ||
| The human genome browser at UCSC | Q24672361 | ||
| Role of the p53/p21 system in the response of human colon carcinoma cells to Doxorubicin | Q24801155 | ||
| Mmip1: a novel leucine zipper protein that reverses the suppressive effects of Mad family members on c-myc | Q28266575 | ||
| ENCODE data in the UCSC Genome Browser: year 5 update | Q28280234 | ||
| Factorbook.org: a Wiki-based database for transcription factor-binding data generated by the ENCODE consortium | Q28280461 | ||
| Computational identification of diverse mechanisms underlying transcription factor-DNA occupancy | Q28535025 | ||
| MEME SUITE: tools for motif discovery and searching | Q29547204 | ||
| The UCSC Table Browser data retrieval tool | Q29614432 | ||
| A 3D map of the human genome at kilobase resolution reveals principles of chromatin looping | Q29615814 | ||
| A biophysical model for analysis of transcription factor interaction and binding site arrangement from genome-wide binding data | Q30000980 | ||
| pROC: an open-source package for R and S+ to analyze and compare ROC curves | Q30050695 | ||
| Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets | Q31063920 | ||
| Inferring Regulatory Networks from Expression Data Using Tree-Based Methods | Q33711877 | ||
| Strategy to enhance the therapeutic effect of doxorubicin in human hepatocellular carcinoma by selenocystine, a synergistic agent that regulates the ROS-mediated signaling | Q33757127 | ||
| Caspase-9. | Q33845313 | ||
| Long-range control of gene expression: emerging mechanisms and disruption in disease | Q33938801 | ||
| Transcription factor binding predictions using TRAP for the analysis of ChIP-seq data and regulatory SNPs | Q34066561 | ||
| BigWig and BigBed: enabling browsing of large distributed datasets | Q34070727 | ||
| New histone deacetylase inhibitors improve cisplatin antitumor properties against thoracic cancer cells. | Q34101029 | ||
| Variation in transcription factor binding among humans | Q34105133 | ||
| Integrative eQTL-based analyses reveal the biology of breast cancer risk loci | Q34194768 | ||
| Radiation pharmacogenomics: a genome-wide association approach to identify radiation response biomarkers using human lymphoblastoid cell lines | Q34239148 | ||
| Roles of cyclin-dependent kinase 4 and p53 in neuronal cell death induced by doxorubicin on cerebellar granule neurons in mouse | Q44972490 | ||
| Identification of beta1,4GalT II as a target gene of p53-mediated HeLa cell apoptosis | Q46796798 | ||
| Sasquatch: predicting the impact of regulatory SNPs on transcription factor binding from cell- and tissue-specific DNase footprints. | Q47807128 | ||
| Mxd1 mediates hypoxia-induced cisplatin resistance in osteosarcoma cells by repression of the PTEN tumor suppressor gene. | Q47881043 | ||
| Integrative genomic analysis predicts causative cis-regulatory mechanisms of the breast cancer-associated genetic variant rs4415084. | Q49913571 | ||
| DeFine: deep convolutional neural networks accurately quantify intensities of transcription factor-DNA binding and facilitate evaluation of functional non-coding variants. | Q52332120 | ||
| PML Recruits TET2 to Regulate DNA Modification and Cell Proliferation in Response to Chemotherapeutic Agent. | Q53686626 | ||
| Complex traits: Integrating gene variation and expression to understand complex traits | Q87337854 | ||
| LSD1 coordinates with the SIN3A/HDAC complex and maintains sensitivity to chemotherapy in breast cancer | Q88613654 | ||
| Principled multi-omic analysis reveals gene regulatory mechanisms of phenotype variation | Q89093063 | ||
| Nucleosome-mediated cooperativity between transcription factors | Q34450175 | ||
| Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology | Q34465792 | ||
| Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning | Q34487019 | ||
| HOCOMOCO: expansion and enhancement of the collection of transcription factor binding sites models. | Q34502352 | ||
| Human disease-associated genetic variation impacts large intergenic non-coding RNA expression | Q34558052 | ||
| Identifying causal regulatory SNPs in ChIP-seq enhancers | Q34883568 | ||
| MEME-ChIP: motif analysis of large DNA datasets | Q35019674 | ||
| Cooperative transcription factor associations discovered using regulatory variation | Q35164635 | ||
| Enhanced regulatory sequence prediction using gapped k-mer features | Q35208332 | ||
| Global eQTL mapping reveals the complex genetic architecture of transcript-level variation in Arabidopsis | Q35730032 | ||
| Insulin Protects Cardiac Myocytes from Doxorubicin Toxicity by Sp1-Mediated Transactivation of Survivin | Q35745202 | ||
| Identification of High-Impact cis-Regulatory Mutations Using Transcription Factor Specific Random Forest Models | Q35840001 | ||
| Dose-Response Analysis Using R. | Q35881866 | ||
| A method to predict the impact of regulatory variants from DNA sequence | Q35904489 | ||
| Which Genetics Variants in DNase-Seq Footprints Are More Likely to Alter Binding? | Q35930706 | ||
| gkmSVM: an R package for gapped-kmer SVM | Q36011083 | ||
| miR-6734 Up-Regulates p21 Gene Expression and Induces Cell Cycle Arrest and Apoptosis in Colon Cancer Cells | Q36100381 | ||
| atSNP: transcription factor binding affinity testing for regulatory SNP detection | Q36276489 | ||
| Imputation for transcription factor binding predictions based on deep learning | Q36289441 | ||
| Predicting effects of noncoding variants with deep learning-based sequence model | Q36621822 | ||
| Computational discovery of transcription factors associated with drug response | Q36844885 | ||
| Interpreting noncoding genetic variation in complex traits and human disease | Q36988784 | ||
| Basset: learning the regulatory code of the accessible genome with deep convolutional neural networks | Q37076984 | ||
| Tissue-specific regulatory circuits reveal variable modular perturbations across complex diseases | Q37140821 | ||
| SNP2TFBS - a database of regulatory SNPs affecting predicted transcription factor binding site affinity | Q37556762 | ||
| Roles of the Ras/Raf/MEK/ERK pathway in leukemia therapy. | Q37865381 | ||
| NRSF/REST regulates the mTOR signaling pathway in oral cancer cells | Q38430570 | ||
| Comprehensive identification of genes driven by ERV9-LTRs reveals TNFRSF10B as a re-activatable mediator of testicular cancer cell death | Q38869610 | ||
| The Genetics of Transcription Factor DNA Binding Variation | Q38912347 | ||
| Sequence features and chromatin structure around the genomic regions bound by 119 human transcription factors | Q39283917 | ||
| LS-GKM: a new gkm-SVM for large-scale datasets | Q39788490 | ||
| Allele-specific transcription factor binding to common and rare variants associated with disease and gene expression | Q39906487 | ||
| GERV: a statistical method for generative evaluation of regulatory variants for transcription factor binding. | Q40420307 | ||
| Uncoupling evolutionary changes in DNA sequence, transcription factor occupancy and enhancer activity | Q41329937 | ||
| The effect of combined treatment with cisplatin and histone deacetylase inhibitors on HeLa cells | Q41916312 | ||
| Doxorubicin induces apoptosis in normal and tumor cells via distinctly different mechanisms. intermediacy of H(2)O(2)- and p53-dependent pathways | Q44822086 | ||
| Family-based and case-control association studies of DRD4 and DAT1 polymorphisms in Chinese attention deficit hyperactivity disorder patients suggest long repeats contribute to genetic risk for the disorder | Q44947667 | ||
| P433 | issue | 1 | |
| P304 | page(s) | 62 | |
| P577 | publication date | 2019-07-30 | |
| P1433 | published in | BMC Biology | Q2545642 |
| P1476 | title | Mechanistic interpretation of non-coding variants for discovering transcriptional regulators of drug response | |
| P478 | volume | 17 |
| Q99635769 | Integrative genomics analysis of various omics data and networks identify risk genes and variants vulnerable to childhood-onset asthma | cites work | P2860 |
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