Class information for:
Level 1: PAULLONES//ADV BIOINFORMAT SYST MED//NCI 60

Basic class information
Class id #P Avg. number of
references		 Database coverage
of references
21112 433 38.2 84%


Bar chart of Publication_year

Last years might be incomplete

Hierarchy of classes
The table includes all classes above and classes immediately below the current class.


Cluster id Level Cluster label #P
0 4 BIOCHEMISTRY & MOLECULAR BIOLOGY//CELL BIOLOGY//ONCOLOGY 4064930
90 3       MATHEMATICAL & COMPUTATIONAL BIOLOGY//BIOINFORMATICS//BMC BIOINFORMATICS 77178
868 2             BMC BIOINFORMATICS//MATHEMATICAL & COMPUTATIONAL BIOLOGY//BIOINFORMATICS 11572
21112 1                   PAULLONES//ADV BIOINFORMAT SYST MED//NCI 60 433

Terms with highest relevance score


rank Term termType Chi square Shr. of publ. in
class containing
term		 Class's shr. of
term's tot. occurrences		 #P with
term in
class
1 PAULLONES authKW 511906 3% 52% 14
2 ADV BIOINFORMAT SYST MED address 317335 1% 75% 6
3 NCI 60 authKW 218776 3% 28% 11
4 CLUSTERED IMAGE MAP authKW 211559 1% 100% 3
5 DRUG SENSITIVITY PREDICTION authKW 211559 1% 100% 3
6 INFORMAT TECHNOL BRANCH address 147101 3% 19% 11
7 CANCER CELL LINE MODELING authKW 141039 0% 100% 2
8 CELL LINE PROFILING authKW 141039 0% 100% 2
9 DARPONES authKW 141039 0% 100% 2
10 FREDERICK CANC DEV SAIC address 141039 0% 100% 2

Web of Science journal categories


Rank Term Chi square Shr. of publ. in
class containing
term		 Class's shr. of
term's tot. occurrences		 #P with
term in
class
1 Oncology 2052 36% 0% 157
2 Mathematical & Computational Biology 1210 10% 0% 43
3 Chemistry, Medicinal 756 13% 0% 56
4 Biochemical Research Methods 495 12% 0% 52
5 Biotechnology & Applied Microbiology 332 13% 0% 56
6 Computer Science, Interdisciplinary Applications 159 6% 0% 25
7 Pharmacology & Pharmacy 136 13% 0% 55
8 Chemistry, Organic 77 8% 0% 33
9 Genetics & Heredity 64 6% 0% 28
10 Cell Biology 56 8% 0% 34

Address terms


Rank Term Chi square Shr. of publ. in
class containing
term		 Class's shr. of
term's tot. occurrences		 #P with
term in
class
1 ADV BIOINFORMAT SYST MED 317335 1% 75% 6
2 INFORMAT TECHNOL BRANCH 147101 3% 19% 11
3 FREDERICK CANC DEV SAIC 141039 0% 100% 2
4 GENOM BIOINFORMAT GRP 124161 2% 20% 9
5 COURS ARGONNE 229 94025 0% 67% 2
6 INFORMAT TECHNOL BRANCHDEV THER EUT PROGRAM 94025 0% 67% 2
7 BASIC SCI MOL PHARMACOL 70520 0% 100% 1
8 CANC THER Y EVALUAT PROGRAMBIOMETR BRANCH 70520 0% 100% 1
9 CANCER EPIGENET DRUG DISCOVERY 70520 0% 100% 1
10 CAND GENET DEV BIOL 70520 0% 100% 1

Journals


Rank Term Chi square Shr. of publ. in
class containing
term		 Class's shr. of
term's tot. occurrences		 #P with
term in
class
1 MOLECULAR CANCER THERAPEUTICS 4420 4% 0% 16
2 CANCER DISCOVERY 2445 1% 1% 4
3 BIOINFORMATICS 1890 4% 0% 17
4 ASSAY AND DRUG DEVELOPMENT TECHNOLOGIES 1644 1% 1% 4
5 NATURE REVIEWS CANCER 1049 1% 0% 4
6 NATURE BIOTECHNOLOGY 959 1% 0% 6
7 JOURNAL OF CHEMICAL INFORMATION AND MODELING 807 1% 0% 6
8 DOKLADY BIOCHEMISTRY AND BIOPHYSICS 706 1% 0% 3
9 EUROPEAN JOURNAL OF MEDICINAL CHEMISTRY 599 2% 0% 9
10 BULLETIN DU CANCER 594 1% 0% 6

Author Key Words


Rank Term Chi square Shr. of publ. in
class containing
term		 Class's shr. of
term's tot. occurrences		 #P with
term in
class		 LCSH search Wikipedia search
1 PAULLONES 511906 3% 52% 14 Search PAULLONES Search PAULLONES
2 NCI 60 218776 3% 28% 11 Search NCI+60 Search NCI+60
3 CLUSTERED IMAGE MAP 211559 1% 100% 3 Search CLUSTERED+IMAGE+MAP Search CLUSTERED+IMAGE+MAP
4 DRUG SENSITIVITY PREDICTION 211559 1% 100% 3 Search DRUG+SENSITIVITY+PREDICTION Search DRUG+SENSITIVITY+PREDICTION
5 CANCER CELL LINE MODELING 141039 0% 100% 2 Search CANCER+CELL+LINE+MODELING Search CANCER+CELL+LINE+MODELING
6 CELL LINE PROFILING 141039 0% 100% 2 Search CELL+LINE+PROFILING Search CELL+LINE+PROFILING
7 DARPONES 141039 0% 100% 2 Search DARPONES Search DARPONES
8 CANCER CELL LINE PANEL 105776 1% 50% 3 Search CANCER+CELL+LINE+PANEL Search CANCER+CELL+LINE+PANEL
9 1 2 3TRIAZOLO4 5 DPYRIMIDINE 70520 0% 100% 1 Search 1+2+3TRIAZOLO4+5+DPYRIMIDINE Search 1+2+3TRIAZOLO4+5+DPYRIMIDINE
10 3 AMINO 5 ARYL 4 ETHYLSULFANYLTHIOPHENE 2 CARBOXYLIC ACIDS DERIVATIVES 70520 0% 100% 1 Search 3+AMINO+5+ARYL+4+ETHYLSULFANYLTHIOPHENE+2+CARBOXYLIC+ACIDS+DERIVATIVES Search 3+AMINO+5+ARYL+4+ETHYLSULFANYLTHIOPHENE+2+CARBOXYLIC+ACIDS+DERIVATIVES

Core articles
The table includes core articles in the class. The following variables is taken into account for the relevance score of an article in a cluster c:
(1) Number of references referring to publications in the class.
(2) Share of total number of active references referring to publications in the class.
(3) Age of the article. New articles get higher score than old articles.
(4) Citation rate, normalized to year.


Rank Reference # ref.
in cl.		 Shr. of ref. in
cl.		 Citations
1 CORTES-CIRIANO, I , MERVIN, LH , BENDER, A , (2016) CURRENT TRENDS IN DRUG SENSITIVITY PREDICTION.CURRENT PHARMACEUTICAL DESIGN. VOL. 22. ISSUE 46. P. 6918 -6927 41 44% 1
2 WAN, P , LI, QY , LARSEN, JEP , EKLUND, AC , PARLESAK, A , RIGINA, O , NIELSEN, SJ , BJORKLING, F , JONSDOTTIR, SO , (2012) PREDICTION OF DRUG EFFICACY FOR CANCER TREATMENT BASED ON COMPARATIVE ANALYSIS OF CHEMOSENSITIVITY AND GENE EXPRESSION DATA.BIOORGANIC & MEDICINAL CHEMISTRY. VOL. 20. ISSUE 1. P. 167 -176 25 60% 2
3 BELIZARIO, JE , SANGIULIANO, BA , PEREZ-SOSA, M , NEYRA, JM , MOREIRA, DF , (2016) USING PHARMACOGENOMIC DATABASES FOR DISCOVERING PATIENT-TARGET GENES AND SMALL MOLECULE CANDIDATES TO CANCER THERAPY.FRONTIERS IN PHARMACOLOGY. VOL. 7. ISSUE . P. - 33 31% 1
4 REINHOLD, WC , VARMA, S , RAJAPAKSE, VN , LUNA, A , SOUSA, FG , KOHN, KW , POMMIER, YG , (2015) USING DRUG RESPONSE DATA TO IDENTIFY MOLECULAR EFFECTORS, AND MOLECULAR "OMIC" DATA TO IDENTIFY CANDIDATE DRUGS IN CANCER.HUMAN GENETICS. VOL. 134. ISSUE 1. P. 3 -11 24 39% 7
5 TOLLE, N , KUNICK, C , (2011) PAULLONES AS INHIBITORS OF PROTEIN KINASES.CURRENT TOPICS IN MEDICINAL CHEMISTRY. VOL. 11. ISSUE 11. P. 1320-1332 33 32% 12
6 CORTES-CIRIANO, I , VAN WESTEN, GJP , BOUVIER, G , NILGES, M , OVERINGTON, JP , BENDER, A , MALLIAVIN, TE , (2016) IMPROVED LARGE-SCALE PREDICTION OF GROWTH INHIBITION PATTERNS USING THE NCI60 CANCER CELL LINE PANEL.BIOINFORMATICS. VOL. 32. ISSUE 1. P. 85 -95 18 41% 4
7 YUAN, H , PASKOV, I , PASKOV, H , GONZALEZ, AJ , LESLIE, CS , (2016) MULTITASK LEARNING IMPROVES PREDICTION OF CANCER DRUG SENSITIVITY.SCIENTIFIC REPORTS. VOL. 6. ISSUE . P. - 16 55% 0
8 UITDEHAAG, JCM , DE ROOS, JADM , PRINSEN, MBW , WILLEMSEN-SEEGERS, N , DE VETTER, JRF , DYLUS, J , VAN DOORNMALEN, AM , KOOIJMAN, J , SAWA, M , VAN GERWEN, SJC , ET AL (2016) CELL PANEL PROFILING REVEALS CONSERVED THERAPEUTIC CLUSTERS AND DIFFERENTIATES THE MECHANISM OF ACTION OF DIFFERENT PI3K/MTOR, AURORA KINASE AND EZH2 INHIBITORS.MOLECULAR CANCER THERAPEUTICS. VOL. 15. ISSUE 12. P. 3097 -3109 18 45% 0
9 SCHERF, U , ROSS, DT , WALTHAM, M , SMITH, LH , LEE, JK , TANABE, L , KOHN, KW , REINHOLD, WC , MYERS, TG , ANDREWS, DT , ET AL (2000) A GENE EXPRESSION DATABASE FOR THE MOLECULAR PHARMACOLOGY OF CANCER.NATURE GENETICS. VOL. 24. ISSUE 3. P. 236-244 15 41% 935
10 KULESSKIY, E , SAARELA, J , TURUNEN, L , WENNERBERG, K , (2016) PRECISION CANCER MEDICINE IN THE ACOUSTIC DISPENSING ERA: EX VIVO PRIMARY CELL DRUG SENSITIVITY TESTING.JALA. VOL. 21. ISSUE 1. P. 27 -36 11 58% 3

Classes with closest relation at Level 1


Rank Class id link
1 6856 NETWORK PHARMACOLOGY//DRUG REPOSITIONING//SYSTEMS PHARMACOLOGY
2 3965 EVOLUT CANC//CANCER GENOME//CANCER GENOMICS
3 25290 CELLBANK AUSTRALIA//FIBROBLAST LINE//FIBROBLAST CELL LINE
4 15173 PATIENT DERIVED XENOGRAFT//FP3//PDX
5 25516 SULOFENUR//INDISULAM//E7070
6 7118 FLAVOPIRIDOL//CYCLIN DEPENDENT KINASE//ROSCOVITINE
7 22399 LUNG CANCER DIAGNOSIS AND PROGNOSIS//AIRWAY EPITHELIUM DEVELOPMENT//ANAT CYTOL PATHOL ALBERT BONNIOT
8 28330 COLLAGEN TYPE XI ALPHA 1//PERITONEAL TUMOR SPREAD//PREPARAT BIOTECHNOL UNIT
9 24187 RHGP//WHOLE GENOMIC OLIGONUCLEOTIDE MICROARRAY//12 GENE COLON CANCER ASSAY
10 37033 ELE OCHIM MAT MOL COMPLEXES//4 4 DIAZENEDIYL DIANILINE//4 4 DIAZENEDIYL DIBENZOATE

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