Stem gene$ (all stems)

97 papers:

TACAS-2015-GiacobbeGGHPP #model checking #network

Model Checking Gene Regulatory Networks (MG, CCG, AG, TAH, TP, TP), pp. 469–483.

KDD-2015-GaoYCH #integration #learning #multi #visual notation

Anatomical Annotations for Drosophila Gene Expression Patterns via Multi-Dimensional Visual Descriptors Integration: Multi-Dimensional Feature Learning (HG, LY, WC, HH), pp. 339–348.

SAC-2015-ChoobdarRS #network

Discovering weighted motifs in gene co-expression networks (SC, PMPR, FMAS), pp. 10–17.

SAC-2015-JeongYAYP #algorithm #interactive #network #search-based #using

Inference of disease-specific gene interaction network using a Bayesian network learned by genetic algorithm (DJ, YY, JA, YY, SP), pp. 47–53.

CAV-2015-FisherKPW #execution #network

Synthesising Executable Gene Regulatory Networks from Single-Cell Gene Expression Data (JF, ASK, NP, SW), pp. 544–560.

ICPR-2014-LiYLYWH #classification #multi #predict

Multi-view Based AdaBoost Classifier Ensemble for Class Prediction from Gene Expression Profiles (LL, ZY, JL, JY, HSW, GH), pp. 178–183.

KDIR-2014-DomeniconiMMP #ontology #random

Discovering New Gene Functionalities from Random Perturbations of Known Gene Ontological Annotations (GD, MM, GM, PP), pp. 107–116.

DAC-2013-YousofshahiOLH #capacity #identification #nondeterminism

Gene modification identification under flux capacity uncertainty (MY, MO, KL, SH), p. 5.

SIGMOD-2013-ZhangXYZW #algorithm #named #search-based #using

PrivGene: differentially private model fitting using genetic algorithms (JZ, XX, YY, ZZ, MW), pp. 665–676.

SAC-2013-MeloAOAMB #analysis #approach #concept #visual notation

A conceptual approach to gene expression analysis enhanced by visual analytics (CAM, MAA, CO, SA, KM, AB), pp. 1314–1319.

PPoPP-2013-LuM #migration #parallel

Multi-level parallel computing of reverse time migration for seismic imaging on blue Gene/Q (LL, KAM), pp. 291–292.

SAC-2012-NagarAB #functional #graph #similarity #using

Computing gene functional similarity using combined graphs (AN, HAM, SB), pp. 1381–1386.

ICEIS-v2-2011-BadarudinSSMM #algorithm #memory management #problem #representation #search-based

An Improved Genetic Algorithm with Gene Value Representation and Short Term Memory for Shape Assignment Problem (IB, ABMS, MNS, AM, MTMM), pp. 178–183.

KDIR-2011-GilliesSPW #feature model #ontology #simulation

Gene Ontology based Simulation for Feature Selection (CEG, MRS, NVP, GDW), pp. 294–302.

SIGIR-2011-BlondelSU

Tackling class imbalance and data scarcity in literature-based gene function annotation (MB, KS, KU), pp. 1123–1124.

CIKM-2010-BundschusBTFK #case study #information management

Digging for knowledge with information extraction: a case study on human gene-disease associations (MB, ABM, VT, LIF, HPK), pp. 1845–1848.

ECIR-2010-KimCLL #detection #effectiveness #image #named #sequence #using

BASIL: Effective Near-Duplicate Image Detection Using Gene Sequence Alignment (HsK, HWC, JL, DL), pp. 229–240.

ICPR-2010-ChiuHW #clustering

AP-Based Consensus Clustering for Gene Expression Time Series (TYC, TCH, JSW), pp. 2512–2515.

KDIR-2010-CamposMO #random #recognition #using

Recognition of Gene/Protein Names using Conditional Random Fields (DC, SM, JLO), pp. 275–280.

SAC-2010-AminBFJ #approach #probability

A stochastic approach to candidate disease gene subnetwork extraction (MSA, AB, RLFJ, HMJ), pp. 1534–1538.

SAC-2010-ChengSMZ #data mining #database #integration #mining #named #online

PROM-OOGLE: data mining and integration of on-line databases to discover gene promoters (DC, JS, MMP, ORZ), pp. 1547–1551.

SAC-2010-NepomucenoLA #clustering #correlation #linear #metaheuristic

Evolutionary metaheuristic for biclustering based on linear correlations among genes (JAN, ATL, JSAR), pp. 1143–1147.

LATA-2009-ScornavaccaBR #approach

From Gene Trees to Species Trees through a Supertree Approach (CS, VB, VR), pp. 702–714.

GT-VMT-2009-SchimmelGS #graph grammar #term rewriting

Gene Expression with General Purpose Graph Rewriting Systems (JS, TG, CS), pp. 202–212.

KDD-2009-JiYLZKY #interactive #using

Drosophila gene expression pattern annotation using sparse features and term-term interactions (SJ, LY, YXL, ZHZ, SK, JY), pp. 407–416.

KDIR-2009-Fang #development #gender

Development and Application of a Roach Gene Regulation Profile based Gender Discrimination Method (YF), pp. 263–269.

PADL-2009-MaldeO #analysis #haskell #scalability #sequence #using

Using Bloom Filters for Large Scale Gene Sequence Analysis in Haskell (KM, BO), pp. 183–194.

SAC-2009-SherminO #network #using

Using dynamic bayesian networks to infer gene regulatory networks from expression profiles (AS, MAO), pp. 799–803.

AFL-2008-Petre #assembly

Mathematics of gene assembly in ciliates (Abstract) (IP), pp. 54–55.

LATA-2008-BrijderH #assembly #graph

Extending the Overlap Graph for Gene Assembly in Ciliates (RB, HJH), pp. 137–148.

CIKM-2008-MahouiTSC #identification #modelling #predict #using

Identification of gene function using prediction by partial matching (PPM) language models (MM, WJT, AKTS, SC), pp. 779–786.

KDD-2008-ZhaoWLYC #data flow #identification #multi #semistructured data

Identifying biologically relevant genes via multiple heterogeneous data sources (ZZ, JW, HL, JY, YC), pp. 839–847.

SAC-2008-ShaoYN #classification

Strangeness-based feature weighting and classification of gene expression profiles (HS, BY, JHN), pp. 1292–1296.

HPCA-2008-SalapuraBG #design #implementation

Design and implementation of the blue gene/P snoop filter (VS, MAB, AG), pp. 5–14.

DLT-2007-BrijderH #assembly #graph #reduction

Characterizing Reduction Graphs for Gene Assembly in Ciliates (RB, HJH), pp. 120–131.

ILC-2007-Harmon #analysis #lisp #tool support

Computational tools for the analysis of spatial patterns of gene expression in Common Lisp (CLH), p. 18.

DHM-2007-GeraciLMPR #algorithm #array #clustering #scalability

FPF-SB : A Scalable Algorithm for Microarray Gene Expression Data Clustering (FG, ML, MM, MP, MER), pp. 606–615.

DHM-2007-LuoYZ #identification

A Method for Gene Identification by Dynamic Feature Choosing (JL, LY, XZ), pp. 678–683.

MLDM-2007-ChristiansenD #approach #case study #evaluation #generative #machine learning #testing

A Machine Learning Approach to Test Data Generation: A Case Study in Evaluation of Gene Finders (HC, CMD), pp. 742–755.

SAC-2007-JinC #graph

Hierarchical alignment graph for gene teams finding on whole genomes (HJJ, HGC), pp. 113–117.

SAC-2007-LinK #array #integration

Exploiting inter-gene information for microarray data integration (KML, JK), pp. 123–127.

SAC-2007-QiT #array #feature model #ontology

Integrating gene ontology into discriminative powers of genes for feature selection in microarray data (JQ, JT), pp. 430–434.

ISMM-2007-MarionJR #java

Decrypting the Java gene pool (SM, REJ, CR), pp. 67–78.

ITiCSE-2006-FatimaMRSH #automation #retrieval #sequence

Automated gene processing and exon sequence retrieval (TF, JDM, RR, GS, KGH), p. 366.

CIAA-2006-Rozenberg #assembly

Theory Inspired by Gene Assembly in Ciliates (GR), p. 10.

CIKM-2006-HuZZ #array #clustering #identification #integration #mining

Integration of cluster ensemble and EM based text mining for microarray gene cluster identification and annotation (XH, XZ, XZ), pp. 824–825.

ICPR-v1-2006-AnC #dataset

Finding Rule Groups to Classify High Dimensional Gene Expression Datasets (JA, YPPC), pp. 1196–1199.

ICPR-v1-2006-RiponTKI #algorithm #clustering #multi #search-based #using

Multi-Objective Evolutionary Clustering using Variable-Length Real Jumping Genes Genetic Algorithm (KSNR, CHT, SK, MKI), pp. 1200–1203.

ICPR-v2-2006-GanLY #analysis #detection

Detecting Periodically Expressed Genes based on Time-frequency Analysis and L-curve Method (XG, AWCL, HY), pp. 654–657.

ICPR-v2-2006-HarpazH #geometry #learning

Exploiting the Geometry of Gene Expression Patterns for Unsupervised Learning (RH, RMH), pp. 670–674.

KDD-2006-GaoGEJ #clustering

Discovering significant OPSM subspace clusters in massive gene expression data (BJG, OLG, ME, SJMJ), pp. 922–928.

SAC-2006-HabichWLP #clustering #set

Two-phase clustering strategy for gene expression data sets (DH, TW, WL, CP), pp. 145–150.

SAC-2006-MaC #algorithm #array #data mining #mining #network #novel

A novel data mining algorithm for reconstructing gene regulatory networks from microarray data (PCHM, KCCC), pp. 202–203.

HPCA-2006-YuSHACGMPERTLG #performance

High performance file I/O for the Blue Gene/L supercomputer (HY, RKS, CH, GA, JGC, MG, JEM, JJP, TE, RBR, RT, RL, WDG), pp. 187–196.

SIGMOD-2005-CongTTX #mining

Mining Top-k Covering Rule Groups for Gene Expression Data (GC, KLT, AKHT, XX), pp. 670–681.

CIAA-J-2004-DaleyM05 #formal method #modelling

Formal modelling of viral gene compression (MD, IM), pp. 453–469.

CIKM-2005-CoutoSC #correlation #ontology #product line #semantics #similarity

Semantic similarity over the gene ontology: family correlation and selecting disjunctive ancestors (FMC, MJS, PC), pp. 343–344.

ECIR-2005-RuchPS

Features Combination for Extracting Gene Functions from MEDLINE (PR, LP, JS), pp. 112–126.

ICML-2005-SinghPGBB #analysis #learning

Active learning for sampling in time-series experiments with application to gene expression analysis (RS, NP, DKG, BB, ZBJ), pp. 832–839.

KDD-2005-LebanMBZ #effectiveness #modelling #visual notation

Simple and effective visual models for gene expression cancer diagnostics (GL, MM, IB, BZ), pp. 167–176.

SIGIR-2005-SekiM #categorisation #ontology

An application of text categorization methods to gene ontology annotation (KS, JM), pp. 138–145.

SAC-2005-Aguilar-RuizD #clustering

Evolutionary computation for biclustering of gene expression (JSAR, FD), pp. 959–960.

SAC-2005-ChenA #analysis #approach #comparative #predict #sequence #using

A new approach for gene prediction using comparative sequence analysis (RC, HHA), pp. 177–184.

SAC-2005-KankarM #clustering #summary #visualisation

Text-based summarization and visualization of gene clusters (PK, SM), pp. 210–211.

SAC-2005-WangP #clustering

Tree-based clustering for gene expression data (BW, WP), pp. 204–205.

VLDB-2004-JiangPZ #interactive #mining #named

GPX: Interactive Mining of Gene Expression Data (DJ, JP, AZ), pp. 1249–1252.

VLDB-2004-XuCOTH #analysis #mining #semantics

Semantic Mining and Analysis of Gene Expression Data (XX, GC, BCO, KLT, AKHT), pp. 1261–1264.

CIAA-2004-Cojocaru #assembly #process #simulation

Simulating the Process of Gene Assembly in Ciliates (LC), pp. 308–309.

CIAA-2004-DaleyM #complexity #verification

Viral Gene Compression: Complexity and Verification (MD, IM), pp. 102–112.

CIKM-2004-ChungJM #clustering #dataset #mining #using

Mining gene expression datasets using density-based clustering (SC, JJ, DM), pp. 150–151.

ICML-2004-ClimerZ #approach #clustering

Take a walk and cluster genes: a TSP-based approach to optimal rearrangement clustering (SC, WZ).

ICPR-v2-2004-MitraM #clustering #feature model

Feature Selection and Gene Clustering from Gene Expression Data (PM, DDM), pp. 343–346.

ICPR-v2-2004-WeiXMJS #hybrid

A Hybrid SOM-SVM Method for Analyzing Zebra Fish Gene Expression (WW, LX, XM, PJ, RS), pp. 323–326.

ICPR-v2-2004-XuanDKHCW #feature model #multi #predict #profiling #robust

Robust Feature Selection by Weighted Fisher Criterion for Multiclass Prediction in Gene Expression Profiling (JX, YD, JIK, EPH, RC, YJW), pp. 291–294.

ICPR-v4-2004-Syeda-Mahmood #clustering

Order-Preserving Clustering and Its Application to Gene Expression Data (TFSM), pp. 637–640.

KDD-2004-DengPML #rank

A rank sum test method for informative gene discovery (LD, JP, JM, DLL), pp. 410–419.

KDD-2004-JiangPRTZ #array #clustering #mining

Mining coherent gene clusters from gene-sample-time microarray data (DJ, JP, MR, CT, AZ), pp. 430–439.

SAC-2004-AbulAPB #generative #using

Finding differentially expressed genes: pattern generation using Q-values (OA, RA, FP, KB), pp. 138–142.

SAC-2004-KomuraNTAI #multi #visualisation

Multidimensional support vector machines for visualization of gene expression data (DK, HN, ST, HA, SI), pp. 175–179.

CIKM-2003-TangZ #mining #multi

Mining multiple phenotype structures underlying gene expression profiles (CT, AZ), pp. 418–425.

KDD-2003-JiangPZ #interactive

Interactive exploration of coherent patterns in time-series gene expression data (DJ, JP, AZ), pp. 565–570.

KDD-2003-Piatetsky-ShapiroKR #array #data analysis

Capturing best practice for microarray gene expression data analysis (GPS, TK, SR), pp. 407–415.

KDD-2003-TangZP #mining

Mining phenotypes and informative genes from gene expression data (CT, AZ, JP), pp. 655–660.

SAC-2003-KwonHN

Inference of Transcriptional Regulation Relationships from Gene Expression Data (ATJK, HHH, RTN), pp. 135–140.

SAC-2003-LiZLO #classification #functional #learning #semistructured data

Gene Functional Classification by Semisupervised Learning from Heterogeneous Data (TL, SZ, QL, MO), pp. 78–82.

SIGMOD-2002-PhanN #analysis #named #tool support

GEA: a toolkit for gene expression analysis (JMP, RTN), p. 628.

DLT-2002-HarjuR #assembly #process

Computational Processes in Living Cells: Gene Assembly in Ciliates (TH, GR), pp. 1–20.

ICGT-2002-HarjuPR #assembly #graph transformation #tutorial

Tutorial on DNA Computing and Graph Transformation — Computational Nature of Gene Assembly in Ciliates (TH, IP, GR), pp. 430–434.

KDD-2002-LiangK #mining #network

Mining heterogeneous gene expression data with time lagged recurrent neural networks (YL, AK), pp. 415–421.

SAC-2002-Sankoff #clustering

Short inversions and conserved gene clusters (DS), pp. 164–167.

KDD-2001-SevonTO #named

TreeDT: gene mapping by tree disequilibrium test (PS, HT, VO), pp. 365–370.

ICML-2000-CravenPSBG #coordination #learning #multi #using

Using Multiple Levels of Learning and Diverse Evidence to Uncover Coordinately Controlled Genes (MC, DP, JWS, JB, JDG), pp. 199–206.

ICPR-v3-2000-KozlovMSRK #performance #segmentation

Fast Redundant Dyadic Wavelet Transform in Application to Spatial Registration of the Expression Patterns of Drosophila Segmentation Genes (KK, EM, MS, JR, DK), pp. 3463–3466.

SAC-1999-TavaresTSR #algorithm

Infected Genes Evolutionary Algorithm (RT, AT, PS, ACR), pp. 333–338.

SAC-1998-CornoRS #algorithm #optimisation

The selfish gene algorithm: a new evolutionary optimization strategy (FC, MSR, GS), pp. 349–355.

HPDC-1994-PuthukattukaranCS #algorithm #design #implementation #parallel

Design and Implementation of Parallel Algorithms for Gene-Finding (JP, SC, PS), pp. 186–193.

SAC-1993-ChenD #biology

Distributing Molecular Biology Information: Gopher, WAIS and the University of Houston Gene-Server (ESC, DBD), pp. 634–640.